Land use planning method and system based on remote sensing image

Abstract

The present invention relates to the field of image processing technology, and in particular to a land use planning method and system based on remote sensing images. The method comprises the following steps: performing remote sensing image acquisition processing and image preprocessing on the land area to be planned; performing land space simulation analysis and land use classification processing on the remote sensing standard image of the land area to be planned, and obtaining various land use area spaces to be planned; performing land resource assessment analysis and resource and environmental carrying capacity assessment analysis on various land use area spaces to be planned, and obtaining resource and environmental carrying capacity data of the land area to be planned; obtaining spatial constraints of the land area to be planned, and performing spatial layout planning optimization processing based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraints of the land area to be planned, and obtaining the land area spatial layout planning optimization results. The present invention can improve the efficiency and accuracy of land space utilization planning.

Description

Technical Field

[0001] The present invention relates to the field of image processing technology, and in particular to a land use planning method and system based on remote sensing images. Background Art

[0002] With the acceleration of urbanization and the increasing scarcity of land resources, land use planning has become an important part of urban development. Land use planning refers to the scientific and reasonable determination of land use methods and spatial layout according to the characteristics of land resources and the needs of social and economic development, so as to achieve effective utilization of land resources and sustainable development. In addition, more and more land use planning processes are carried out by combining remote sensing technology and geographic information systems. Among them, remote sensing technology is an important means to obtain surface information of the land area to be planned, including aerial photography and satellite remote sensing. By using remote sensing images, large-scale and high-resolution land area surface information can be obtained, such as land type, vegetation cover, water body distribution, etc., and geographic information system is a technical system that integrates geographic spatial data, manages and analyzes spatial information. Through the geographic information system, remote sensing images can be processed, analyzed and spatially modeled, thereby realizing spatial data management and decision support in land use planning. However, the existing methods based on remote sensing images have certain limitations in image processing and spatial layout planning, which leads to the problems of low spatial resolution of images and inaccurate land use classification accuracy. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a land use planning method and system based on remote sensing images to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a land use planning method based on remote sensing images includes the following steps:

[0005] Step S1: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtain remote sensing images of the land area to be planned; performing image preprocessing on the remote sensing images of the land area to be planned, and obtain remote sensing standard images of the land area to be planned;

[0006] Step S2: performing land space simulation analysis on the remote sensing standard image of the land area to be planned to obtain a simulated space of the land area to be planned; performing vegetation coverage and building distribution statistical analysis on the simulated space of the land area to be planned to obtain vegetation coverage degree data of the land area to be planned and building distribution data of the land area to be planned;

[0007] Step S3: Based on the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, the land use classification processing is performed on the simulated space of the land area to be planned to obtain various types of land use areas to be planned; the land resource evaluation and analysis is performed on the various types of land use areas to be planned to obtain the land resource levels of various types of land use areas to be planned;

[0008] Step S4: Based on the land resource levels of the planned space for each type of land use, a resource and environmental carrying capacity assessment analysis is performed on the simulated space of the land area to be planned to obtain the resource and environmental carrying capacity data of the land area to be planned; spatial constraint processing is performed on the simulated space of the land area to be planned to obtain the spatial constraint conditions of the land area to be planned; based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraint conditions of the land area to be planned, spatial layout planning optimization processing is performed on the simulated space of the land area to be planned to obtain the land area spatial layout planning optimization result.

[0009] The present invention firstly uses satellite remote sensing imaging equipment to collect and process remote sensing images of the planned land area, and can obtain high-resolution and wide-coverage surface information of the planned land area, thereby providing a reliable data basis for subsequent land planning and management. Through remote sensing image collection, the geographical information of the land area can be obtained in real time, including the distribution of various natural elements such as terrain, vegetation, and water bodies, providing intuitive and comprehensive geographic spatial information for planners. At the same time, by performing image preprocessing on the remote sensing image of the planned land area, the preprocessing steps include removing clouds, removing noise, image correction, image equalization, image registration, etc., so that cloud cover in the remote sensing image can be effectively removed, noise and interference in the image can be eliminated, and the clarity and accuracy of the image can be improved. At the same time, the accuracy of the image and the spatial resolution of the image can also be improved, and the deformation and deviation caused by surface features and shooting angles can be eliminated, so that the image is more in line with the form and position of the actual object. In addition, the spatial consistency between different images can be improved, so that it can be effectively compared and analyzed, thereby providing more accurate data support for subsequent land planning and management. The present invention has high resolution of image space and accurate land use classification accuracy.

[0010] Preferably, the present invention further provides a land use planning system based on remote sensing images, which is used to execute the land use planning method based on remote sensing images as described above. The land use planning system based on remote sensing images comprises:

[0011] The image processing module of the land area to be planned is used to collect and process remote sensing images of the land area to be planned using satellite remote sensing imaging equipment to obtain remote sensing images of the land area to be planned; and to perform image preprocessing on the remote sensing images of the land area to be planned, so as to obtain remote sensing standard images of the land area to be planned;

[0012] The land remote sensing image space simulation statistics module is used to perform land space simulation analysis on the remote sensing standard image of the planned land area to obtain the simulated space of the planned land area; perform vegetation coverage and building distribution statistics on the simulated space of the planned land area to obtain the vegetation coverage degree data and building distribution data of the planned land area;

[0013] The land area space utilization classification and evaluation module is used to classify the land utilization of the simulated space of the land area to be planned based on the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, so as to obtain the space of the area to be planned for various types of land utilization; the land resource evaluation and analysis is performed on the space of the area to be planned for various types of land utilization, so as to obtain the land resource level of the space to be planned for various types of land utilization;

[0014] The land area spatial layout planning optimization module is used to conduct resource and environmental carrying capacity assessment and analysis on the simulated space of the land area to be planned based on the land resource levels of the space to be planned for various types of land use, so as to obtain the resource and environmental carrying capacity data of the land area to be planned; to perform spatial constraint processing on the simulated space of the land area to be planned to obtain the spatial constraint conditions of the land area to be planned; to perform spatial layout planning optimization processing on the simulated space of the land area to be planned based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraint conditions of the land area to be planned, so as to obtain the land area spatial layout planning optimization results.

[0015] In summary, the present invention utilizes the internal structure of the system to cooperate with each other, which can greatly reduce duplication of work and manpower input, and can quickly and effectively provide a more accurate and efficient land use planning process, thereby simplifying the operating procedures of the land use planning system based on remote sensing images. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0017] Figure 1 A schematic diagram of the steps of the land use planning method based on remote sensing images of the present invention;

[0018] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0019] Figure 3 for Figure 2 Detailed step flow chart of step S14 in FIG. DETAILED DESCRIPTION

[0020] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0022] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0023] To achieve this, please refer to Figures 1 to 3 The present invention provides a land use planning method based on remote sensing images, the method comprising the following steps:

[0024] Step S1: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtain remote sensing images of the land area to be planned; performing image preprocessing on the remote sensing images of the land area to be planned, and obtain remote sensing standard images of the land area to be planned;

[0025] Step S2: performing land space simulation analysis on the remote sensing standard image of the land area to be planned to obtain a simulated space of the land area to be planned; performing vegetation coverage and building distribution statistical analysis on the simulated space of the land area to be planned to obtain vegetation coverage degree data of the land area to be planned and building distribution data of the land area to be planned;

[0026] Step S3: Based on the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, the land use classification processing is performed on the simulated space of the land area to be planned to obtain various types of land use areas to be planned; the land resource evaluation and analysis is performed on the various types of land use areas to be planned to obtain the land resource levels of various types of land use areas to be planned;

[0027] Step S4: Based on the land resource levels of the planned space for each type of land use, a resource and environmental carrying capacity assessment analysis is performed on the simulated space of the land area to be planned to obtain the resource and environmental carrying capacity data of the land area to be planned; spatial constraint processing is performed on the simulated space of the land area to be planned to obtain the spatial constraint conditions of the land area to be planned; based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraint conditions of the land area to be planned, spatial layout planning optimization processing is performed on the simulated space of the land area to be planned to obtain the land area spatial layout planning optimization result.

[0028] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the land use planning method based on remote sensing images of the present invention. In this example, the land use planning method based on remote sensing images includes the following steps:

[0029] Step S1: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtain remote sensing images of the land area to be planned; performing image preprocessing on the remote sensing images of the land area to be planned, and obtain remote sensing standard images of the land area to be planned;

[0030] The embodiment of the present invention first uses satellite remote sensing imaging equipment to determine the appropriate satellite orbit and acquisition time to collect and process remote sensing images of the land area to be planned, so as to obtain high-resolution, wide-coverage surface information of the land area to be planned, including the distribution of various natural elements such as terrain, vegetation, water bodies, etc., thereby obtaining a remote sensing image of the land area to be planned. Secondly, the remote sensing images of the land area to be planned are processed by using a cloud removal algorithm to remove cloud interference in the remote sensing images, and denoising is performed by using median filtering, wavelet denoising and other processing methods to remove or reduce noise interference in the images. Then, the remote sensing images of the land area to be planned that have been denoised are subjected to corresponding atmospheric correction, radiation calibration correction and geometric correction, and are processed by using a histogram equalization method to adjust the grayscale distribution of the remote sensing images to enhance the contrast and visual effect of the remote sensing images. At the same time, the image registration technology is used to process the equalized remote sensing images of the land area to be planned, so as to register images acquired at different times, different resolutions or different sensors to improve the spatial consistency between different images, and they are standardized to finally obtain remote sensing standard images of the land area to be planned.

[0031] Step S2: performing land space simulation analysis on the remote sensing standard image of the land area to be planned to obtain a simulated space of the land area to be planned; performing vegetation coverage and building distribution statistical analysis on the simulated space of the land area to be planned to obtain vegetation coverage degree data of the land area to be planned and building distribution data of the land area to be planned;

[0032] The embodiment of the present invention firstly performs segmentation processing on the remote sensing standard image of the land area to be planned by using a segmentation technology based on features such as pixel value, texture, shape, etc., so as to divide the remote sensing standard image of the land area to be planned according to the land object scene type or spatial distribution characteristics, including different land object scenes such as buildings, vegetation, water bodies, etc., and optimizes and adjusts the boundaries of the land object scene area image obtained after segmentation by using a boundary optimization algorithm, so as to eliminate the noise that may exist in the land object scene area image to be planned, and smooth the area boundary. Secondly, the optimized image is analyzed by using a spatial topology analysis algorithm to analyze and understand the spatial relationship and structure between the land object scene areas, and determine the topological relationship between the objects in the land area, such as adjacency relationship, inclusion relationship, etc. System, overlapping relationship, etc., are analyzed by using spatial feature analysis methods to explore the spatial characteristics and laws of the land feature scene area, and various spatial characteristics of the land feature scene area are extracted, such as shape, size, distribution and other feature data, and the simulation space corresponding to the image of the land feature scene area to be planned is simulated according to the spatial feature data obtained by analysis. Then, the vegetation coverage statistical analysis method and the building distribution statistical analysis method are used to count and analyze the vegetation coverage and the distribution of buildings in the simulated space of the land area to be planned, so as to evaluate and understand the distribution of vegetation coverage and the distribution of buildings in the land area, and finally the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned are obtained.

[0033] Step S3: Based on the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, the land use classification processing is performed on the simulated space of the land area to be planned to obtain various types of land use areas to be planned; the land resource evaluation and analysis is performed on the various types of land use areas to be planned to obtain the land resource levels of various types of land use areas to be planned;

[0034] The embodiment of the present invention uses a mathematical statistical analysis method to analyze the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, so as to deeply understand the distribution characteristics of different vegetation coverage and the distribution characteristics of buildings in the land area, and classify and analyze the land use types of the simulated space of the land area to be planned by combining the vegetation coverage characteristics and the building distribution characteristics obtained by the analysis, so as to divide the land area into different land use types, such as agricultural land, urban construction land, nature reserve and other spaces. Secondly, statistical analysis of corresponding land resources is performed on the space of the area to be planned for each type of land use, including statistics on land area, land use intensity, land use history and other aspects, so as to fully understand the resource status and characteristics of each type of land use. Then, by combining the land resource status data obtained by the analysis, corresponding evaluation indicators are determined for the space of the area to be planned for each type of land use, so as to determine the evaluation indicators such as land adaptability, ecological environment quality and resource utilization potential, and assign corresponding evaluation weights to them. At the same time, the corresponding evaluation indicators are analyzed according to the assigned evaluation weights, so as to comprehensively consider factors such as land adaptability, ecological environment quality and resource utilization potential to determine the comprehensive utilization value level of land resources of each type of land use, and finally obtain the land resource level of the space to be planned for each type of land use.

[0035] Step S4: Based on the land resource levels of the planned space for each type of land use, a resource and environmental carrying capacity assessment analysis is performed on the simulated space of the land area to be planned to obtain the resource and environmental carrying capacity data of the land area to be planned; spatial constraint processing is performed on the simulated space of the land area to be planned to obtain the spatial constraint conditions of the land area to be planned; based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraint conditions of the land area to be planned, spatial layout planning optimization processing is performed on the simulated space of the land area to be planned to obtain the land area spatial layout planning optimization result.

[0036] The embodiment of the present invention firstly analyzes the resource carrying capacity of the corresponding spatial position of the simulated space of the land area to be planned by combining the land resource levels of various types of land use to be planned, so as to consider the quantity, quality, stability and other factors of the land resources in the overall land area to be planned, and constructs a resource carrying capacity evaluation index, such as land area, water resources, soil fertility, etc., and analyzes the environmental carrying capacity of the corresponding spatial position of the simulated space of the land area to be planned by combining the land resource levels of various types of land use to be planned, so as to consider the stability and fragility of the ecological environment, and construct an environmental carrying capacity evaluation index, such as ecosystem service function, biodiversity protection, etc., and then, by performing a weighted comprehensive evaluation on the resource carrying capacity evaluation index and the environmental carrying capacity evaluation index, the resource and environmental carrying capacity of the land area to be planned is comprehensively evaluated and analyzed, and the supply level of various types of resources and environment in the land area to be planned is determined, so as to obtain the resource and environmental carrying degree data of the land area to be planned. Secondly, by using the impact assessment analysis method, the impact analysis of spatial planning is carried out on each place in the simulated space of the planned land area to identify the influencing factors of various spatial planning schemes on the planned land area, including land use structure, transportation network, urban facilities, etc., and by combining the spatial influencing factors obtained by analysis, the corresponding spatial constraint processing is carried out on the simulated space of the planned land area to clarify the spatial restriction conditions of land use planning. These constraint conditions include land use restricted areas, environmental protection areas, construction control areas, water sources, traffic arteries, etc., and determine the feasible scope and constraint conditions of land use, so as to obtain the spatial constraint conditions of the land area to be planned. Then, by using the preliminary predetermined land use spatial layout scheme, the initial planning processing of the spatial layout of the simulated space of the planned land area is carried out, including the preliminary planning of land use type, land use ratio, functional zoning, etc., so as to determine the main functional zoning and basic spatial layout of each land use area, and by combining the acquired data on the carrying degree of resources and environment of the land area to be planned and the spatial constraints of the land area to be planned, the initial planning results of the land use area are analyzed to fully consider the rationality, sustainability, environmental protection needs and social and economic development requirements of the carrying capacity of resources and environment and the constraints in the land use space, so as to determine the optimization direction and goal of the spatial layout of land use, including optimizing the land use structure, optimizing the spatial distribution, area ratio and other goals. Finally, according to the determined land area spatial layout planning optimization goals, the corresponding layout planning optimization processing is carried out on the simulated space of the planned land area to achieve the optimal configuration and layout of land use, including adjusting the land use structure, optimizing the spatial layout, improving the land use efficiency and other measures, so as to obtain the spatial layout results that meet the planning goals, and finally obtain the land area spatial layout planning optimization results.

[0037] The present invention firstly uses satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and can obtain high-resolution and wide-coverage surface information of the land area to be planned, thereby providing a reliable data basis for subsequent land planning and management. Through remote sensing image collection, the geographic information of the land area can be obtained in real time, including the distribution of various natural elements such as terrain, vegetation, and water bodies, providing intuitive and comprehensive geographic spatial information for planners. At the same time, by performing image preprocessing on the remote sensing image of the land area to be planned, the preprocessing steps include removing clouds, removing noise, image correction, image equalization, image registration, etc., so that cloud cover in the remote sensing image can be effectively removed, noise and interference in the image can be eliminated, and the clarity and accuracy of the image can be improved. At the same time, the accuracy of the image and the spatial resolution of the image can also be improved, and the deformation and deviation caused by surface features and shooting angles can also be eliminated, so that the image is more in line with the form and position of the actual object. In addition, the spatial consistency between different images can be improved, so that it can be effectively compared and analyzed, thereby providing more accurate data support for subsequent land planning and management. Secondly, by performing land scene regional segmentation processing on the remote sensing standard image of the planned land area, different ground object scenes in the image can be separated for subsequent analysis and processing. The key to this step is to accurately identify and segment various ground objects (such as buildings, vegetation, water bodies, etc.) in the land image through the image segmentation algorithm, thereby generating a regional image of the land object scene to be planned. This step can provide a reliable data basis for the subsequent processing process and provide important support for the land space simulation processing process. Secondly, by performing land space simulation analysis on the regional image of the planned land object scene, the purpose is to simulate and analyze the land use situation to reveal the spatial distribution characteristics and trends of land use. The key to this step is to use tools such as geographic information system (GIS) to perform spatial simulation and analysis on the optimized ground object scene image, thereby generating a simulation space for the land area to be planned. This simulation space can be used to evaluate the rationality of land use, predict the development trend of land use, and provide a scientific basis for land planning and management. The purpose of statistically analyzing the vegetation coverage and building distribution of the simulated space of the planned land area is to evaluate the vegetation coverage in the land area and understand the distribution and spatial distribution characteristics of buildings in land use, so as to provide scientific support for the subsequent land use planning process. Then, the land use classification of the simulated space of the planned land area is carried out based on the characteristic data of the vegetation coverage degree data of the planned land area and the building distribution data of the planned land area, so as to rationally utilize and manage land resources. By combining vegetation coverage and building distribution information, different types of land use areas can be divided, providing guidance for land planning, ecological protection and urban construction, thereby realizing the multifunctional utilization of land resources and improving the accuracy of land use classification.And through the land resource assessment and analysis of various land use areas to be planned, the purpose is to evaluate the utilization efficiency and sustainability of land resources. Through the assessment and analysis, the resource advantages and disadvantages of various land uses can be determined, so as to generate the corresponding assessment index assessment levels, so that it can achieve the sustainable use of land resources and ensure the sustainable development of the ecological environment and economic society, thus providing basic data guarantee for the subsequent resource and environmental carrying assessment and processing process. Finally, by conducting resource and environmental carrying assessment and analysis on the simulated space of the planned land area based on the land resource levels of various land use spaces to be planned, the resource and environmental carrying capacity of the land area to be planned can be fully understood. This analysis and processing process fully considers the quantity, quality and environmental carrying capacity of land resources, and provides an important basis for subsequent spatial planning. The resource and environmental carrying degree data obtained can quantify the resource utilization and environmental quality of the land area, and provide decision support and management suggestions for planners to ensure the sustainable use of land resources and the healthy development of the ecological environment. Subsequently, by processing the spatial constraints of the simulated space of the planned land area, the spatial constraints of the land use planning can be clarified. These constraints include the restricted area of ​​land use, the environmental protection area, the construction control area, etc. By processing these constraints, more flexible and feasible solutions can be provided for the subsequent spatial planning, and the legality and sustainability of the planning can be guaranteed, thereby providing a guarantee for the reasonable layout of the land use space. In addition, by optimizing the spatial layout planning of the initial planning results of the simulated space of the planned land area based on the resource and environmental carrying capacity data of the planned land area and the spatial constraints, the optimal configuration and layout of land use can be achieved. This process includes the optimization and adjustment of land use structure, spatial layout, functional configuration, etc., to achieve the effective use of resources and the benign development of the environment, so as to meet the needs of social and economic development, ensure the health of the ecological environment, and provide a guarantee for the sustainability of land use.

[0038] Preferably, step S1 comprises the following steps:

[0039] Step S11: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtaining remote sensing images of the land area to be planned;

[0040] Step S12: performing image cloud removal processing on the remote sensing image of the land area to be planned, so as to obtain a remote sensing cloud removal image of the land area to be planned;

[0041] Step S13: performing image denoising on the remote sensing cloud-removed image of the land area to be planned, to obtain a remote sensing denoised image of the land area to be planned;

[0042] Step S14: performing image correction processing on the remote sensing denoised image of the land area to be planned to obtain a remote sensing comprehensive corrected image of the land area to be planned;

[0043] Step S15: performing image equalization processing on the remote sensing comprehensive correction image of the planned land area to obtain a remote sensing equalized image of the planned land area; performing image registration processing on the remote sensing equalized image of the planned land area to obtain a remote sensing standard image of the planned land area.

[0044] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0045] Step S11: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtaining remote sensing images of the land area to be planned;

[0046] The embodiment of the present invention uses satellite remote sensing imaging equipment to determine the appropriate satellite orbit and acquisition time to collect and process remote sensing images of the land area to be planned, so as to obtain high-resolution and wide-coverage surface information of the land area to be planned, including the distribution of various natural elements such as terrain, vegetation, water bodies, etc., and finally obtain a remote sensing image of the land area to be planned.

[0047] Step S12: performing image cloud removal processing on the remote sensing image of the land area to be planned, so as to obtain a remote sensing cloud removal image of the land area to be planned;

[0048] The embodiment of the present invention processes the remote sensing image of the land area to be planned by using a cloud removal algorithm to remove cloud interference in the remote sensing image, and ensures that the remote sensing cloud removal image of the land area to be planned is clear and free of cloud obstructions, and finally obtains the remote sensing cloud removal image of the land area to be planned.

[0049] Step S13: performing image denoising on the remote sensing cloud-removed image of the land area to be planned, to obtain a remote sensing denoised image of the land area to be planned;

[0050] The embodiment of the present invention performs denoising on the remote sensing cloud removal image of the planned land area by using processing methods such as median filtering and wavelet denoising to remove or reduce noise interference in the image and improve the clarity and accuracy of the remote sensing image, and finally obtains the remote sensing denoised image of the planned land area.

[0051] Step S14: performing image correction processing on the remote sensing denoised image of the land area to be planned to obtain a remote sensing comprehensive corrected image of the land area to be planned;

[0052] The embodiment of the present invention processes the pixel values ​​of the remote sensing denoised image of the land area to be planned according to the optical characteristics of different bands by using an atmospheric correction model to remove the changes in image brightness and contrast caused by atmospheric scattering and absorption, so that the remote sensing image is more consistent with the reflection characteristics of the actual objects, and processes the remote sensing denoised image of the land area to be planned after atmospheric correction by using ground reflectivity data or a radiation correction plate to calibrate the radiation amount of the image to a standard value and eliminate the influence of atmospheric radiation on the image. Secondly, sampling and processing of ground control points are performed according to different object types and terrain conditions in the remote sensing denoised image of the land area to be planned, so as to select representative ground control points on the remote sensing denoised image of the land area to be planned, and enable it to determine the geographical location and coordinates of the objects in the remote sensing denoised image of the land area to be planned, thereby obtaining the ground control points of the land area to be planned. Then, based on the selected ground control points of the land area to be planned, the remote sensing denoised image of the land area to be planned after atmospheric correction and radiation correction is subjected to corresponding geometric correction to ensure that the geometric information of the image matches the spatial position of the real objects and makes it more consistent with the position and form of the actual objects, and finally obtains the comprehensive remote sensing corrected image of the land area to be planned.

[0053] Step S15: performing image equalization processing on the remote sensing comprehensive correction image of the planned land area to obtain a remote sensing equalized image of the planned land area; performing image registration processing on the remote sensing equalized image of the planned land area to obtain a remote sensing standard image of the planned land area.

[0054] The embodiment of the present invention processes the remote sensing comprehensive correction image of the land area to be planned by using a histogram equalization method to adjust the grayscale distribution of the remote sensing image and enhance the contrast and visual effect of the remote sensing image, thereby obtaining a remote sensing balanced image of the land area to be planned. Then, the balanced remote sensing balanced image of the land area to be planned is processed by using an image registration technology to register images acquired at different times, different resolutions or different sensors to improve the spatial consistency between different images, and perform standardization processing on them, and finally obtain a remote sensing standard image of the land area to be planned.

[0055] The present invention firstly uses satellite remote sensing imaging equipment to collect and process remote sensing images of the planned land area, and can obtain high-resolution and wide-coverage surface information of the planned land area, thereby providing a reliable data basis for subsequent land planning and management. Through remote sensing image acquisition, the geographic information of the land area can be obtained in real time, including the distribution of various natural elements such as terrain, vegetation, and water bodies, providing intuitive and comprehensive geographic spatial information for planners. Secondly, by performing image cloud removal processing on the remote sensing image of the planned land area, the cloud cover in the remote sensing image can be effectively removed, and the image quality and clarity can be improved. By removing the cloud layer, the cloud interference information in the image can be reduced, and the features of the ground objects can be more clearly visible, thereby providing more accurate data support for subsequent land use assessment and planning decisions. Then, by performing image denoising processing on the remote sensing cloud removal image of the planned land area, the noise and interference in the image can be eliminated, the clarity and accuracy of the image can be improved, and the denoising processing can make the boundary of the ground object clearer, reduce image blur and distortion, and provide a more reliable basis for subsequent land classification and analysis. Next, by performing image correction processing on the denoised remote sensing images of the planned land area, the atmosphere, radiation and geometric transformations in the images can be corrected to improve the accuracy and spatial resolution of the images. The deformation and deviation caused by surface features and shooting angles can also be eliminated, so that the images are more consistent with the form and position of the actual objects, thereby providing a more reliable data basis for land planning and management. Finally, by performing image equalization processing on the remote sensing comprehensive correction images of the planned land area, the contrast and brightness of the images can be adjusted to make the images clearer and easier to identify. The visual effects of the images can also be enhanced, and the features of the objects can be highlighted, thereby providing better visualization effects for subsequent land classification and analysis. At the same time, by performing image registration processing on the remote sensing equalized images of the planned land area, the spatial consistency between different images can be improved, enabling effective comparison and analysis, thereby providing more accurate data support for subsequent land planning and management.

[0056] Preferably, step S14 comprises the following steps:

[0057] Step S141: performing atmospheric correction processing on the remote sensing denoised image of the land area to be planned, so as to obtain the remote sensing atmospheric correction image of the land area to be planned;

[0058] Step S142: performing radiation calibration and correction processing on the remote sensing atmospheric correction image of the land area to be planned, so as to obtain a remote sensing radiation calibration and correction image of the land area to be planned;

[0059] Step S143: performing ground control point sampling processing on the remote sensing radiation calibration and correction image of the land area to be planned, and obtaining ground control points of the land area to be planned;

[0060] Step S144: performing pixel and geographic coordinate acquisition processing on the remote sensing radiation calibration and correction image of the land area to be planned based on the ground control points of the land area to be planned, so as to obtain the pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned;

[0061] Step S145: geometrically correcting the remote sensing radiation calibration and correction image of the land area to be planned based on the pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned to obtain a remote sensing comprehensive correction image of the land area to be planned.

[0062] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S14 in the embodiment, step S14 includes the following steps:

[0063] Step S141: performing atmospheric correction processing on the remote sensing denoised image of the land area to be planned, so as to obtain the remote sensing atmospheric correction image of the land area to be planned;

[0064] The embodiment of the present invention processes the pixel values ​​of the remote sensing denoised image of the land area to be planned according to the optical characteristics of different bands by using an atmospheric correction model to remove the changes in image brightness and contrast caused by atmospheric scattering and absorption, so that the remote sensing image is more consistent with the reflection characteristics of the actual objects and can accurately reflect the spectral characteristics and surface information of the objects, and finally obtains the remote sensing atmospheric correction image of the land area to be planned.

[0065] Step S142: performing radiation calibration and correction processing on the remote sensing atmospheric correction image of the land area to be planned, so as to obtain a remote sensing radiation calibration and correction image of the land area to be planned;

[0066] The embodiment of the present invention processes the remote sensing atmospheric correction image of the land area to be planned after atmospheric correction by using ground reflectivity data or radiation correction plates, so as to calibrate the radiation amount of the image to a standard value and eliminate the influence of atmospheric radiation on the image, and finally obtain a remote sensing radiation calibration and correction image of the land area to be planned.

[0067] Step S143: performing ground control point sampling processing on the remote sensing radiation calibration and correction image of the land area to be planned, and obtaining ground control points of the land area to be planned;

[0068] The embodiment of the present invention performs sampling processing of ground control points according to different types of land objects and terrain conditions in the remote sensing radiation calibration and correction image of the land area to be planned, so as to select representative ground control points on the remote sensing radiation calibration and correction image of the land area to be planned, and make it possible to determine the geographical location and coordinates of the land objects in the remote sensing radiation calibration and correction image of the land area to be planned, and finally obtain the ground control points of the land area to be planned.

[0069] Step S144: performing pixel and geographic coordinate acquisition processing on the remote sensing radiation calibration and correction image of the land area to be planned based on the ground control points of the land area to be planned, so as to obtain the pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned;

[0070] The embodiment of the present invention collects and records the pixel positions of the selected ground control points in the remote sensing radiation calibration and correction image of the land area to be planned and the real geographic coordinates in the geographic space, so as to establish a corresponding relationship between the pixel coordinates and the geographic coordinates of the ground control points, and finally obtains the pixel coordinates of the ground control points in the land area to be planned and the geographic coordinates of the ground control points in the land area to be planned.

[0071] Step S145: geometrically correcting the remote sensing radiation calibration and correction image of the land area to be planned based on the pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned to obtain a remote sensing comprehensive correction image of the land area to be planned.

[0072] The embodiment of the present invention firstly performs statistical calculation on the collected pixel coordinates of the ground control points of the land area to be planned and the geographical coordinates of the ground control points of the land area to be planned by using a matching degree calculation method, so as to quantify the matching degree between the pixel coordinates of the ground control points in the image and the real geographical coordinates in the geographical space, and performs matching mapping on the collected pixel coordinates of the ground control points of the land area to be planned and the geographical coordinates of the ground control points of the land area to be planned according to the calculated matching index, so as to establish a mapping relationship between the ground control point pixels and the geographical coordinates by matching mapping, and ensure that their corresponding relationship in the image and the geographical space is accurate, and at the same time, apply it to the remote sensing radiation calibration and correction image of the land area to be planned, and pass The remote sensing radiation calibration and correction image of the planned land area is adjusted and corrected by using the geometric fitting method to ensure that the geometric information of the image matches the spatial position of the real object. Secondly, the fitted geometric fitting image is analyzed by using the error analysis method to analyze and evaluate the fitting error between it and the real object position. Then, the corresponding correction transformation method (including rotation, translation and scaling of the correction image) is used to adjust and change the corresponding error position area in the geometric fitting image by combining the fitting error obtained by analysis, so as to further improve the geometric fitting accuracy and geographical location accuracy of the image, so that it is more in line with the actual location and form of the object, and finally the remote sensing comprehensive correction image of the planned land area is obtained.

[0073] The present invention firstly performs atmospheric correction processing on the remote sensing denoising image of the planned land area, aiming to eliminate the influence of atmospheric factors on the remote sensing image, thereby improving the quality and accuracy of the image. The atmospheric correction processing process can remove the changes in image brightness and contrast caused by atmospheric scattering and absorption, so that the remote sensing image is more consistent with the reflection characteristics of the actual object, thereby providing a more reliable data basis for subsequent land cover classification and resource monitoring. Secondly, by performing radiation calibration correction processing on the remote sensing atmospheric correction image of the planned land area, the radiation of the image is calibrated to a standard value to eliminate the radiation difference between different images, ensure the consistency and comparability of the data, and adjust the brightness and hue of the image so that different images have a consistent radiation expression, thereby providing an accurate basis for subsequent remote sensing data analysis and monitoring. Then, by performing ground control point sampling processing on the remote sensing radiation calibration correction image of the planned land area, the geographical location and coordinates of the object in the image can be determined, providing basic data for subsequent geometric correction. Through ground control point sampling, the position and shape of the object in the image can be accurately determined, thereby providing an accurate reference point for the precise correction of the image. Next, pixel and geographic coordinate acquisition and processing of the remote sensing radiation calibration and correction image of the planned land area is carried out based on the ground control points of the planned land area, aiming to establish the correspondence between the pixel coordinates and geographic coordinates of the ground control points. This step can associate the pixel position of the object in the image with its actual geographical location, thereby providing important data support for subsequent geometric correction. Finally, geometric correction processing is carried out on the remote sensing radiation calibration and correction image of the planned land area based on the pixel coordinates of the ground control points of the planned land area and the geographic coordinates of the ground control points of the planned land area, aiming to correct the geometric morphology of the image to match the position and morphology of the actual objects. This geometric correction processing process can eliminate the distortion and deformation in the image, making the image more consistent with the morphology and distribution of the actual objects, thereby providing a more accurate data basis for land planning and resource management.

[0074] Preferably, step S145 includes the following steps:

[0075] Perform matching statistical calculation on the pixel coordinates of the ground control points in the planned land area and the geographic coordinates of the ground control points in the planned land area to obtain the ground control point pixel-geographic coordinate matching index;

[0076] The embodiment of the present invention uses a matching degree calculation method to perform statistical calculations on the collected pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned, so as to quantitatively calculate the matching degree between the pixel coordinates of the ground control points in the image and their real geographic coordinates in the geographic space, and finally obtain the ground control point pixel-geographic coordinate matching index.

[0077] Preferably, matching and mapping processing is performed on the pixel coordinates of the ground control points of the land area to be planned and the geographical coordinates of the ground control points of the land area to be planned according to the ground control point pixel-geographic coordinate matching index to obtain a ground control point pixel-geographic coordinate matching mapping relationship;

[0078] The embodiment of the present invention matches and maps the collected pixel coordinates of the ground control points of the land area to be planned and the geographical coordinates of the ground control points of the land area to be planned according to the calculated ground control point pixel-geographic coordinate matching index, so as to establish a mapping relationship between the ground control point pixels and the geographical coordinates through matching mapping, and ensure that their corresponding relationship in the image and geographic space is accurate, and at the same time effectively determine that the pixel position of the ground control point can be mapped to the corresponding geographical coordinate, and finally obtain the ground control point pixel-geographic coordinate matching mapping relationship.

[0079] Preferably, a remote sensing radiation calibration and correction image of the land area to be planned is subjected to geometric fitting processing based on a ground control point pixel-geographic coordinate matching mapping relationship to obtain a remote sensing geometric fitting image of the land area to be planned;

[0080] The embodiment of the present invention applies the ground control point pixel-geographic coordinate matching mapping relationship obtained by analysis to the remote sensing radiation calibration and correction image of the land area to be planned, and uses a geometric fitting method to adjust and correct the remote sensing radiation calibration and correction image of the land area to be planned accordingly, so as to ensure that the geometric information of the image matches the spatial position of the real object, eliminate the distortion and deformation in the image, and finally obtain the remote sensing geometric fitting image of the land area to be planned.

[0081] Preferably, fitting error analysis is performed on the remote sensing geometric fitting image of the land area to be planned to obtain geometric fitting error data of the image of the land area to be planned;

[0082] The embodiment of the present invention uses an error analysis method to analyze the fitted remote sensing geometric fitting image of the land area to be planned, so as to analyze and evaluate the fitting error between it and the actual ground object position, and finally obtain the geometric fitting error data of the image of the land area to be planned.

[0083] Preferably, the remote sensing geometric fitting image of the land area to be planned is corrected and transformed based on the geometric fitting error data of the image of the land area to be planned, so as to obtain a remote sensing comprehensive corrected image of the land area to be planned.

[0084] The embodiment of the present invention uses corresponding correction transformation methods (including methods such as rotation, translation and scaling of the correction image) in combination with the fitting error situation in the geometric fitting error data of the image of the land area to be planned to adjust and change the corresponding error position area in the remote sensing geometric fitting image of the land area to be planned, so as to further improve the geometric fitting accuracy of the image and the accuracy of the geographical location, make it more consistent with the position and form of the actual objects, and finally obtain the remote sensing comprehensive correction image of the land area to be planned.

[0085] The present invention firstly performs matching statistical calculation on the pixel coordinates of the ground control points of the planned land area and the geographic coordinates of the ground control points of the planned land area, aiming to evaluate the consistency and accuracy between them. Through matching statistical calculation, the matching degree between the pixel coordinates and the geographic coordinates of the ground control points can be determined, thereby providing a reliable data basis for subsequent geometric correction. The ground control point pixel-geographic coordinate matching index obtained by this calculation reflects the positioning accuracy and consistency of the geometric position of the ground control points in the image, thereby providing an important reference for the geometric correction of the image. Secondly, by performing matching mapping processing between the pixel coordinates and the geographic coordinates of the ground control points according to the ground control point pixel-geographic coordinate matching index, a matching association relationship between them is established. This matching mapping relationship is based on the ground control point pixel-geographic coordinate matching index, and the pixel position of the ground control point can be effectively mapped to the corresponding geographic coordinate, thereby providing accurate data support for subsequent geometric fitting. Then, by performing geometric fitting processing on the remote sensing radiation calibration correction image of the planned land area based on the ground control point pixel-geographic coordinate matching mapping relationship, the geometric morphology of the image is adjusted to match the position and morphology of the actual object. Through geometric fitting, the distortion and deformation in the image can be eliminated, so as to obtain more accurate remote sensing images, thus providing a reliable basis for subsequent data analysis and application. Next, the fitting error analysis of the remote sensing geometric fitting image of the planned land area is carried out to evaluate the error degree and influencing factors in the fitting process. By analyzing the fitting error, the accuracy and reliability of the geometric fitting can be understood, and a reference basis can be provided for the correction transformation. This step can identify the fitting error in the image and provide adjustment and improvement direction for the subsequent correction transformation. Finally, based on the geometric fitting error data of the image of the planned land area, the remote sensing geometric fitting image of the planned land area is corrected and transformed to obtain a more accurate remote sensing comprehensive correction image. The correction transformation can adjust the geometric shape of the image according to the fitting error data, so that it is more in line with the position and shape of the actual objects, and improve the accuracy and availability of the image. This step can provide a more reliable remote sensing data basis for subsequent land planning and resource management.

[0086] Preferably, step S2 comprises the following steps:

[0087] Step S21: performing land scene region segmentation processing on the remote sensing standard image of the land area to be planned, and obtaining the land object scene region image to be planned;

[0088] The embodiment of the present invention performs segmentation processing on the remote sensing standard image of the land area to be planned through segmentation technology based on pixel value, texture, shape and other features, so as to divide the remote sensing standard image of the land area to be planned according to the land object scene type or spatial distribution characteristics, including different land object scenes such as buildings, vegetation, water bodies, etc., and finally obtain the land object scene area image to be planned.

[0089] Step S22: performing regional boundary optimization processing on the image of the land and object scene area to be planned, and obtaining an optimized image of the boundary of the land and object scene area to be planned;

[0090] The embodiment of the present invention optimizes and adjusts the boundaries of the image of the land object scene area to be planned obtained after segmentation by using a boundary optimization algorithm to eliminate the noise that may exist in the image of the land object scene area to be planned, smooth the area boundaries, and retain important object features, and finally obtains an optimized image of the boundary of the land object scene area to be planned.

[0091] Step S23: performing land space simulation analysis on the optimized image of the boundary of the land feature scene area to be planned, so as to obtain a simulated space of the land area to be planned;

[0092] The embodiment of the present invention uses a spatial topology analysis algorithm to analyze the optimized image of the boundary of the land object scene area to be planned, so as to analyze and understand the spatial relationship and structure between the land object scene areas, and determine the topological relationship between the objects in the land area, such as adjacency, inclusion, overlapping, etc., and uses a spatial feature analysis method to analyze to explore the spatial characteristics and laws of the land object scene area, and extract various spatial features of the land object scene area, such as shape, size, distribution and other feature data. Secondly, by sampling the spatial feature points of the spatial feature data obtained by the analysis, representative feature points are extracted from the complex spatial feature data, and the feature data structure is simplified and important spatial information is retained. At the same time, the extracted feature points are classified and integrated to obtain the spatial feature point sets of each land object scene area to be planned. Then, the spatial feature point sets of each land object scene area to be planned are analyzed by using the association rule mining analysis method, including the calculation and analysis of the spatial distance and proximity relationship between the feature point sets, so as to identify the spatial correlation connection relationship between the land object scene areas, such as distance, proximity, etc., and simulate the simulation space of the corresponding land object scene area boundary optimization image according to the spatial correlation connection relationship between the land object scene areas to be planned obtained by analysis, and finally the simulation space of the land area to be planned is obtained.

[0093] Step S24: Performing a statistical analysis of vegetation coverage on the simulated space of the land area to be planned, and obtaining vegetation coverage degree data of the land area to be planned;

[0094] The embodiment of the present invention uses a vegetation coverage statistical analysis method to perform statistics and analysis on the vegetation coverage in the simulated space of the land area to be planned, so as to evaluate and understand the distribution of vegetation coverage in the land area, and finally obtain vegetation coverage data for the land area to be planned.

[0095] Step S25: Performing building distribution statistical analysis on the simulated space of the land area to be planned to obtain building distribution data of the land area to be planned.

[0096] The embodiment of the present invention uses a building distribution statistical analysis method to count and analyze the distribution of buildings in the simulated space of the planned land area, so as to evaluate and understand the distribution of buildings and spatial layout characteristics in the land use structure, and finally obtain the building distribution data of the planned land area.

[0097] The present invention firstly performs land scene regional segmentation processing on the remote sensing standard image of the planned land area, and can separate different land object scenes in the image for subsequent analysis and processing. The key to this step is to accurately identify and segment various land objects (such as buildings, vegetation, water bodies, etc.) in the land image through the image segmentation algorithm, thereby generating a land object scene regional image to be planned. This step can provide a reliable data basis for the subsequent processing process and provide important support for the land space simulation processing process. Secondly, by performing regional boundary optimization processing on the land object scene regional image to be planned, it is intended to optimize the boundaries between various land object scenes to make them clearer and more accurate. The key to this step is to smooth and optimize the boundaries of the segmented land object scene through the boundary optimization algorithm, eliminate possible noise and discontinuity, and obtain a more accurate land object boundary. The optimized image can accurately reflect the spatial relationship between different land objects, thereby providing reliable basic data for subsequent land use planning and analysis. Then, the land space simulation analysis is carried out on the optimized image of the boundary of the planned land feature scene area, the purpose is to simulate and analyze the land use situation, so as to reveal the spatial distribution characteristics and trends of land use. The key to this step is to use tools such as geographic information system (GIS) to simulate and analyze the optimized land feature scene image in space, so as to generate the simulation space of the land area to be planned. This simulation space can be used to evaluate the rationality of land use, predict the development trend of land use, and provide a scientific basis for land planning and management. Next, the vegetation coverage statistical analysis is carried out on the simulated space of the planned land area to evaluate the vegetation coverage in the land area, so as to provide a reference for ecological environment protection and land use planning, and it can also be used to monitor the changes in the ecological environment, evaluate the health of the ecosystem, and provide a scientific basis for ecological protection and restoration. Finally, the building distribution statistical analysis is carried out on the simulated space of the planned land area to understand the distribution and spatial distribution characteristics of buildings in land use, provide a reference for urban planning and land use management, and can also be used to evaluate the rationality of the layout of urban construction and the demand for planned construction land, so as to provide scientific support for the subsequent land use planning process.

[0098] Preferably, step S23 includes the following steps:

[0099] Step S231: performing spatial structure topology analysis on the boundary optimization image of the land and object scene area to be planned, and obtaining spatial structure topology data of the land and object scene area to be planned;

[0100] The embodiment of the present invention uses a spatial topology analysis algorithm to analyze the optimized image of the boundary of the land feature scene area to be planned, so as to analyze and understand the spatial relationship and structure between the land feature scene areas, and determine the topological relationship between the objects in the land area, such as adjacency relationship, inclusion relationship, overlapping relationship, etc., and finally obtain the spatial structure topological data of the land feature scene area to be planned.

[0101] Step S232: performing spatial feature analysis on the spatial structure topological data of the land object scene area to be planned, and obtaining spatial feature data of the land object scene area to be planned;

[0102] The embodiment of the present invention uses a spatial feature analysis method to analyze the spatial structure topological data of the land feature scene area to be planned, so as to explore the spatial characteristics and laws of the land feature scene area, and extract various spatial characteristics of the land feature scene area, such as shape, size, distribution, etc., and finally obtain the spatial feature data of the land feature scene area to be planned.

[0103] Step S233: performing spatial feature point set sampling processing on the spatial feature data of the land and object scene area to be planned, and obtaining the spatial feature point set of each land and object scene area to be planned;

[0104] The embodiment of the present invention performs sampling processing on the spatial feature points of the spatial feature data of the land and object scene area to be planned, so as to extract representative feature points from the complex spatial feature data, simplify the feature data structure and retain important spatial information, and classify and integrate the extracted feature points to finally obtain a set of spatial feature points for each land and object scene area to be planned.

[0105] Step S234: performing spatial correlation analysis on the spatial feature point sets of each land object scene area to be planned, and obtaining spatial correlation connection relationship data between each land object scene area to be planned;

[0106] The embodiment of the present invention analyzes the spatial feature point sets of each land object scene area to be planned by using an association rule mining and analysis method, including calculating and analyzing the spatial distance, proximity relationship, etc. between the feature point sets, so as to identify the spatial correlation connection relationship between the land object scene areas, such as distance, proximity, etc., and reveal the spatial connection and mutual influence relationship of land use, and finally obtain the spatial correlation connection relationship data between the land object scene areas to be planned.

[0107] Step S235: Based on the spatial correlation connection relationship data between the various land object scene areas to be planned, land space simulation analysis is performed on the optimized image of the boundary of the land object scene area to be planned to obtain a simulated space of the land area to be planned.

[0108] The embodiment of the present invention uses spatial simulation technology to simulate the optimized image of the boundary of the land object scene area to be planned by combining the spatial correlation connection relationship data between the various land object scene areas to be planned, so as to simulate the simulation space of the optimized image of the boundary of the land object scene area corresponding to the spatial correlation connection relationship between the land object scene areas to be planned, and finally obtain the simulated space of the land area to be planned.

[0109] The present invention firstly performs spatial structure topological analysis on the optimized image of the boundary of the land object scene area to be planned, in order to understand the spatial relationship and structure between the land object scene areas. Through the topological analysis algorithm, the topological relationship between the objects, such as adjacent, contained, etc., can be determined, so as to obtain the spatial structure topological data of the land object scene area to be planned. The key to this step is that it can provide a basis for the subsequent spatial feature analysis, so that the spatial structure of land use can be more deeply understood, and a scientific basis can be provided for planning and management. Secondly, by performing spatial feature analysis on the spatial structure topological data of the land object scene area to be planned, it is intended to explore the spatial characteristics and laws of the land object scene area. Through the spatial feature analysis method, various spatial features of the land object scene area, such as shape, size, distribution, etc., can be extracted, so as to obtain the spatial feature data of the land object scene area to be planned, which can be used to analyze the spatial pattern and characteristics of land use, and provide important reference for planning and management. Then, by performing spatial feature point set sampling processing on the spatial feature data of the land object scene area to be planned, it is to extract representative spatial feature points from the data for subsequent spatial association analysis. Through sampling processing, representative point sets can be extracted from complex spatial data to reflect the important characteristics of land and object scene areas. These spatial feature point sets can be used for subsequent spatial correlation analysis and simulation analysis. Next, spatial correlation analysis is performed on the spatial feature point sets of each land and object scene area to be planned in order to study the spatial correlation relationship between different land and object scene areas. Through the spatial correlation analysis method, the spatial correlation connection relationship between each land and object scene area can be determined, such as distance, proximity, etc. These spatial correlation connection relationship data can be used to reveal the spatial connection and mutual influence of land use, and provide scientific support for land planning and management. Finally, based on the spatial correlation connection relationship data between each land and object scene area to be planned, the land space simulation analysis is performed on the optimized image of the boundary of the land and object scene area to be planned, so as to simulate and generate the simulation space of the land area to be planned. This simulation space can be used to evaluate the rationality of land use and predict the development trend of land use, thereby providing a scientific basis for subsequent land planning and management.

[0110] Preferably, step S3 comprises the following steps:

[0111] Step S31: performing vegetation coverage characteristic analysis on the vegetation coverage degree data of the land area to be planned, and obtaining vegetation coverage characteristic data of the land area to be planned;

[0112] The embodiment of the present invention uses a mathematical statistical analysis method to analyze the vegetation coverage data of the planned land area, so as to gain an in-depth understanding of the different vegetation conditions and their spatial distribution characteristics in the land area, and reveal the characteristic information such as the type, density, and distribution pattern of vegetation in the land area, and finally obtain the vegetation coverage characteristic data of the planned land area.

[0113] Step S32: Analyze the building distribution characteristics of the building distribution data of the land area to be planned to obtain the building distribution characteristic data of the land area to be planned;

[0114] The embodiment of the present invention uses a distribution feature analysis method to analyze the building distribution data of the planned land area to fully understand the distribution and characteristics of buildings in land use, and determine the characteristics of building density, building type, building distribution law, etc., and finally obtain the building distribution feature data of the planned land area.

[0115] Step S33: Based on the vegetation coverage characteristic data of the land area to be planned and the building distribution characteristic data of the land area to be planned, land use classification processing is performed on the simulated space of the land area to be planned to obtain various types of land use area spaces to be planned;

[0116] The embodiment of the present invention classifies and analyzes the land use types of the simulated space of the land area to be planned by combining the vegetation coverage characteristic data of the land area to be planned and the building distribution characteristic data of the land area to be planned, so as to divide the land area into different land use types, such as agricultural land, urban construction land, nature reserve and other spaces, and finally obtains various types of land use area spaces to be planned.

[0117] Step S34: Performing land resource statistics analysis on various land use areas to be planned, and obtaining land resource status data of various land use areas to be planned;

[0118] The embodiment of the present invention conducts statistical analysis of corresponding land resources for various types of land use to be planned regional spaces, including statistics on land area, land use intensity, land use history, etc., to comprehensively understand the resource status and characteristics of various types of land use, and finally obtain land resource status data for various types of land use to be planned spatially.

[0119] Step S35: Based on the land resource status data of each type of land use to be planned space, land resource assessment and analysis are performed on each type of land use to be planned regional space to obtain the land resource level of each type of land use to be planned space.

[0120] The embodiment of the present invention determines the corresponding evaluation indicators for various types of land use to be planned regional spaces by combining the land resource status data of various types of land use to be planned, so as to determine the evaluation indicators such as land adaptability, ecological environment quality and resource utilization potential, and assign corresponding evaluation weights to them. At the same time, the corresponding evaluation indicators are analyzed according to the assigned evaluation weights, so as to comprehensively consider factors such as land adaptability, ecological environment quality and resource utilization potential to determine the comprehensive utilization value level of land resources for various types of land use, and finally obtain the land resource level of various types of land use to be planned.

[0121] The present invention first analyzes the vegetation coverage characteristics of the planned land area vegetation coverage degree data, and can deeply understand the vegetation status and distribution characteristics of the land area. This analysis process can reveal the type, density, distribution pattern and other information of the vegetation in the land area, thereby providing important references for subsequent land use planning and environmental protection, and promoting sustainable development. Secondly, by analyzing the building distribution characteristics of the planned land area building distribution data, it is helpful to fully understand the distribution and characteristics of buildings in land use. Through this analysis, the type, density, layout and other characteristics of the building can be determined, providing a scientific basis for land use planning, urban planning and infrastructure construction, and optimizing land resource allocation. Then, based on the vegetation coverage characteristic data of the planned land area and the building distribution characteristic data, the land use classification processing is carried out on the simulated space of the planned land area, in order to rationally utilize and manage land resources. By combining vegetation coverage and building distribution information, different types of land use areas can be divided, providing guidance for land planning, ecological protection and urban construction, thereby realizing the multifunctional utilization of land resources, and at the same time, the accuracy of land use classification accuracy can be improved. Next, through the statistical analysis of land resources in the space of various land uses to be planned, the aim is to fully understand the resource status and characteristics of various land uses, so as to obtain information such as the area, distribution and resource utilization efficiency of various land uses, thereby providing a scientific basis for subsequent land resource management, ecological protection and economic development. Finally, through the land resource assessment and analysis of various land use to be planned regional spaces based on the land resource status data of various land use to be planned, the purpose is to evaluate the utilization efficiency and sustainability of land resources. Through the assessment and analysis, the resource advantages and disadvantages of various land uses can be determined, so as to generate the corresponding assessment index assessment level, so that it can achieve the sustainable use of land resources and ensure the sustainable development of the ecological environment and economic society, thereby providing basic data guarantee for the subsequent resource and environmental carrying capacity assessment and processing process.

[0122] Preferably, step S35 includes the following steps:

[0123] Step S351: extracting and processing the land adaptability data of the land resource status data of each type of land use to be planned, and obtaining the land resource adaptation status data of each type of land use; analyzing the land adaptability assessment index of each type of land use to be planned regional space based on the land resource adaptation status data of each type of land use, and obtaining the land adaptability assessment index of each type of land use, and assigning the first assessment weight to the land adaptability assessment index of each type of land use;

[0124] The embodiment of the present invention extracts and processes the land adaptation related data in detail for the land resource status data of various land uses to be planned, so as to obtain the adaptability of various land uses to consider the matching degree between various land uses and their surrounding environment, including factors such as the terrain, soil type, and climatic conditions of various land uses, thereby obtaining the land resource adaptation status data of various land uses. Then, by combining the extracted land resource adaptation status data of various land uses, the adaptability evaluation index of the space of the regional area to be planned for various land uses is determined, so as to comprehensively consider the availability, stability, and sustainability of land resources and other factors to determine the adaptability of various land uses in the regional space to be planned, and finally obtain the land adaptability evaluation index of various land uses, and at the same time, assign the corresponding first evaluation weight to the land adaptability evaluation index of various land uses, so as to reflect the importance of land adaptability to the overall planning.

[0125] Step S352: extracting and processing the ecological environment data of the land resource status data of each type of land use to be planned, and obtaining the ecological environment status data of the land resources of each type of land use; analyzing the ecological environment assessment index of each type of land use to be planned regional space based on the ecological environment status data of the land resources of each type of land use, and obtaining the land ecological environment quality assessment index of each type of land use, and assigning the second assessment weight to the land ecological environment quality assessment index of each type of land use;

[0126] The embodiment of the present invention extracts and processes detailed ecological environment-related data of various land uses to be planned, including the collection and collation of data such as the distribution of wild animals and plants, ecosystem types, and land cover changes, to obtain the impact of various land uses on the ecological environment, thereby obtaining ecological environment status data of various land uses and land resources. Then, by combining the extracted ecological environment status data of various land uses and land resources, the ecological environment quality assessment indicators of various land uses to be planned are determined to assess the degree of impact of various land uses on the stability, diversity, and health of the ecological environment system, and finally obtain the ecological environment quality assessment indicators of various land uses, and at the same time, the corresponding second assessment weights are assigned to the ecological environment quality assessment indicators of various land uses, so as to reflect the importance of ecological environment quality in land use planning.

[0127] Step S353: extracting and processing the land resource status data of various land use spaces to be planned, and obtaining the land resource utilization status data of various land use spaces; analyzing the resource utilization evaluation index of various land use spaces to be planned based on the land resource utilization status data of various land use spaces, and obtaining the land resource utilization potential evaluation index of various land use spaces, and assigning the third evaluation weight to the land resource utilization potential evaluation index of various land use spaces;

[0128] The embodiment of the present invention extracts and processes the land resource status data of various land use spaces to be planned in detail, including data collation and analysis on the water resource utilization of the land, the utilization rate of cultivated land, the degree of exploitation of mineral resources of the land, etc., to obtain the resource utilization of various land uses, thereby obtaining the land resource utilization status data of various land uses. Then, by combining the extracted land resource utilization status data of various land uses, the resource utilization potential evaluation index of the space of various land use areas to be planned is determined to determine the potential and limitation of various land uses in resource utilization, and finally obtain the land resource utilization potential evaluation index of various land uses. At the same time, the corresponding third evaluation weight is assigned to the land resource utilization potential evaluation index of various land uses, so as to comprehensively consider the importance of resource utilization potential in land planning.

[0129] Step S354: Perform land resource assessment and analysis on the land adaptability assessment indicators of various types of land uses, the land ecological environment quality assessment indicators of various types of land uses, and the land resource utilization potential assessment indicators of various types of land uses according to the first assessment weight, the second assessment weight, and the third assessment weight to obtain the land resource level of the space to be planned for various types of land uses.

[0130] The embodiment of the present invention firstly evaluates and calculates the land adaptability evaluation index of each type of land use by using a weighted summation or entropy method according to the assigned first evaluation weight, so as to calculate the land adaptability evaluation score of each type of land use. Secondly, the land ecological environment quality evaluation index of each type of land use is evaluated and calculated by using a weighted summation or a multi-objective decision-making method according to the assigned second evaluation weight, so as to calculate the ecological environment quality evaluation score of each type of land use. Then, the land resource utilization potential evaluation index of each type of land use is evaluated and calculated by using fuzzy evaluation, hierarchical analysis method and other technologies according to the assigned third evaluation weight, so as to calculate the resource utilization potential evaluation score of each type of land use. Finally, the comprehensive evaluation score of each type of land use is calculated by the average calculation method, and the grade evaluation standard of the land resource level is formulated to clarify the evaluation score range and evaluation standard of each level. According to the formulated land resource level evaluation standard, the calculated comprehensive evaluation score of each type of land use is divided into levels, such as level one, level two, level three, etc., and finally the land resource level of the space to be planned for each type of land use is obtained.

[0131] The present invention firstly extracts and processes the land adaptation data of the land resource status data of the space to be planned for various types of land use, and can obtain the adaptability of various types of land use. This analysis process can consider the matching degree between land use and its surrounding environment, including factors such as land topography, soil type, and climatic conditions, so as to evaluate the rationality and sustainability of land use. By analyzing the land adaptation evaluation index of various types of land use to be planned regional space based on the land resource adaptation status data of various types of land use, the adaptability of various types of land use can be quantified, thereby providing a scientific basis for land planning and resource management. In addition, by assigning the first evaluation weight, the importance of land adaptability to the overall planning can be more accurately reflected, thereby guiding subsequent decisions and actions. Secondly, after extracting and processing the ecological environment data of the land resource status data of various types of land use to be planned, the impact of various types of land use on the ecological environment can be obtained. By analyzing the ecological environment evaluation index of various types of land use to be planned regional space based on the ecological environment status data of various types of land use, the impact of land use on the stability, diversity and health of the ecosystem can be evaluated. At the same time, by assigning the second evaluation weight, the importance of ecological environment quality in land use planning can be better reflected, thereby paying more attention to ecological protection and restoration in spatial planning and resource management. Then, by extracting and processing the land resource status data of various land use spaces to be planned, the resource utilization of various land uses can be obtained, and the resource utilization evaluation index analysis of various land use spaces to be planned can be carried out based on the land resource utilization status data of various land uses. This analysis process can evaluate the efficiency and sustainability of land use on resource utilization, including the utilization of water resources, energy, soil and other aspects of the land. In addition, by assigning the third evaluation weight, it can more accurately reflect the impact of resource utilization potential on land use planning, so as to pay more attention to the reasonable allocation and protection of resources in the management and utilization of land resources. Finally, by combining the corresponding evaluation weights with the land adaptability evaluation indicators, land ecological environment quality evaluation indicators and land resource utilization potential evaluation indicators of various land uses, the comprehensive evaluation process can comprehensively consider the various factors of land use, so as to determine the land resource level of various land use spaces to be planned. These levels reflect the comprehensive utilization value and sustainability of land resources, and can provide scientific basis and decision support for subsequent land use planning, ecological protection and resource management.

[0132] Preferably, step S4 comprises the following steps:

[0133] Step S41: Based on the land resource levels of various types of land use to be planned, a resource and environmental carrying capacity assessment analysis is performed on the simulated space of the land area to be planned, to obtain resource and environmental carrying capacity data of the land area to be planned;

[0134] The embodiment of the present invention combines various land use spatial land resource levels to be planned to analyze the resource carrying capacity of the corresponding spatial position of the land area simulation space to be planned, so as to consider the quantity, quality, stability and other factors of the land resources in the overall land area to be planned, and constructs a resource carrying capacity evaluation index, such as land area, water resources, soil fertility, etc., and combines various land use spatial land resource levels to be planned to analyze the environmental carrying capacity of the corresponding spatial position of the land area simulation space to be planned, so as to consider the stability and fragility of the ecological environment, and construct an environmental carrying capacity evaluation index, such as ecosystem service function, biodiversity protection, etc., and then, by weighted comprehensive evaluation of the resource carrying capacity evaluation index and the environmental carrying capacity evaluation index, comprehensively evaluate and analyze the resource and environmental carrying capacity of the land area to be planned, and determine the supply level of various resources and environment in the land area to be planned, and finally obtain the resource and environmental carrying degree data of the land area to be planned.

[0135] Step S42: Perform spatial planning impact analysis on the simulated space of the land area to be planned, and obtain spatial impact factor data of the land area to be planned;

[0136] The embodiment of the present invention uses an impact assessment analysis method to perform an impact analysis of spatial planning on various places in the simulated space of the planned land area, so as to identify the influencing factors of various spatial planning schemes on the planned land area, including land use structure, transportation network, urban facilities, etc., and analyze their spatial distribution and mutual influence relationship, and finally obtain the spatial influencing factor data of the land area to be planned.

[0137] Step S43: performing spatial constraint processing on the simulated space of the land area to be planned according to the spatial influencing factor data of the land area to be planned, so as to obtain spatial constraint conditions of the land area to be planned;

[0138] The embodiment of the present invention performs corresponding spatial constraint processing on the simulated space of the land area to be planned by combining the spatial influencing factor data of the land area to be planned obtained by analysis, so as to clarify the spatial restriction conditions of land use planning. These restriction conditions include restricted areas for land use, environmental protection areas, construction control areas, water sources, traffic arteries, etc., and determine the feasible scope and constraint conditions of land use, and finally obtain the spatial constraint conditions of the land area to be planned.

[0139] Step S44: performing initial spatial layout planning processing on the simulated space of the land area to be planned, so as to obtain an initial spatial layout planning result of the land area;

[0140] The embodiment of the present invention uses a preliminary predetermined land use spatial layout plan to perform initial planning processing on the spatial layout of the simulated space of the planned land area, including preliminary planning of land use type, land use ratio, functional zoning, etc., and determines the main functional zoning and basic spatial layout of each land use area, and finally obtains the initial planning result of the land area spatial layout.

[0141] Step S45: Based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraints of the land area to be planned, the initial planning result of the land area spatial layout is analyzed for the optimization target of the layout planning, so as to obtain the optimization target of the land area spatial layout planning;

[0142] The embodiment of the present invention analyzes the initial planning results of the spatial layout of the land area by combining the acquired resource and environmental carrying capacity data of the land area to be planned and the spatial constraints of the land area to be planned, so as to fully consider the rationality, sustainability, environmental protection needs and social and economic development requirements of the resource and environmental carrying capacity and constraints in the land use space, to determine the optimization direction and goals of the spatial layout of land use, including optimizing the land use structure, optimizing the spatial distribution, area ratio and other goals, and finally obtain the optimization goal of the spatial layout planning of the land area.

[0143] Step S46: performing spatial layout planning optimization processing on the simulated space of the land area to be planned according to the land area spatial layout planning optimization target to obtain the land area spatial layout planning optimization result.

[0144] The embodiment of the present invention performs corresponding layout planning optimization processing on the simulated space of the planned land area according to the determined land area spatial layout planning optimization target to achieve the optimal configuration and layout of land use, including adjusting the land use structure, optimizing the spatial layout, improving the land use efficiency and other measures, so as to obtain the spatial layout results that meet the planning goals and finally obtain the land area spatial layout planning optimization results.

[0145] The present invention firstly conducts resource and environmental carrying capacity assessment analysis on the simulated space of the land area to be planned based on the land resource level of the space to be planned for various types of land use, so as to fully understand the resource and environmental carrying capacity of the land area to be planned. This analysis and processing process fully considers the quantity, quality and environmental carrying capacity of land resources, and provides an important basis for subsequent spatial planning. The resource and environmental carrying capacity data obtained can quantify the resource utilization and environmental quality of the land area, and provide decision support and management suggestions for planners to ensure the sustainable utilization of land resources and the healthy development of the ecological environment. At the same time, by conducting spatial planning impact analysis on the simulated space of the land area to be planned, the influencing factors of various spatial planning schemes on the land area can be identified. These influencing factors include land use structure, transportation network, urban facilities, etc. By analyzing their spatial distribution and interaction relationship, it can provide important reference for subsequent planning decisions. The spatial influencing factor data of the land area to be planned obtained helps to reveal the limitations and potential development direction of land use, and provides a basis for formulating reasonable planning schemes. Secondly, by processing the spatial constraints according to the spatial influencing factors of the land area to be planned, the spatial constraints of land use planning can be clarified. These constraints include the restricted area of ​​land use, the environmental protection area, the construction control area, etc. By processing these constraints, more flexible and feasible solutions can be provided for subsequent spatial planning, and the legality and sustainability of the planning can be guaranteed, thus providing a guarantee for the reasonable layout of land use space. Then, by processing the initial spatial layout of the simulated space of the planned land area, the spatial layout plan of land use can be preliminarily determined. This processing includes the preliminary planning of land use type, land use ratio, functional zoning, etc., which provides a basis for subsequent optimization and can also show the overall pattern and potential development direction of land use, thus providing a reference for the subsequent optimization and adjustment of spatial layout planning. Next, by analyzing the layout planning optimization target of the initial planning results of the land area spatial layout based on the resource and environmental carrying capacity data and spatial constraints of the land area to be planned, the optimization direction and target of land use can be determined. This analysis takes into account the rationality of resource utilization, the need for environmental protection, and the requirements of social and economic development, providing a scientific basis for the optimization of land use. The optimization objectives of land regional spatial layout planning obtained can guide subsequent planning decisions and spatial layout design, and provide strategic guidance for the sustainable development of land use.Finally, by optimizing the spatial layout planning of the simulated space of the planned land area according to the optimization objectives of the land area spatial layout planning, the optimal configuration and layout of land use can be achieved. This process includes the optimization and adjustment of land use structure, spatial layout, functional configuration and other aspects to achieve effective utilization of resources and benign development of the environment, thereby meeting the needs of social and economic development, ensuring the health of the ecological environment, and providing guarantees for the sustainability of land use.

[0146] Preferably, the present invention further provides a land use planning system based on remote sensing images, which is used to execute the land use planning method based on remote sensing images as described above. The land use planning system based on remote sensing images comprises:

[0147] The image processing module of the land area to be planned is used to collect and process remote sensing images of the land area to be planned using satellite remote sensing imaging equipment to obtain remote sensing images of the land area to be planned; and to perform image preprocessing on the remote sensing images of the land area to be planned, so as to obtain remote sensing standard images of the land area to be planned;

[0148] The land remote sensing image space simulation statistics module is used to perform land space simulation analysis on the remote sensing standard image of the planned land area to obtain the simulated space of the planned land area; perform vegetation coverage and building distribution statistics on the simulated space of the planned land area to obtain the vegetation coverage degree data and building distribution data of the planned land area;

[0149] The land area space utilization classification and evaluation module is used to classify the land utilization of the simulated space of the land area to be planned based on the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, so as to obtain the space of the area to be planned for various types of land utilization; the land resource evaluation and analysis is performed on the space of the area to be planned for various types of land utilization, so as to obtain the land resource level of the space to be planned for various types of land utilization;

[0150] The land area spatial layout planning optimization module is used to conduct resource and environmental carrying capacity assessment and analysis on the simulated space of the land area to be planned based on the land resource levels of the space to be planned for various types of land use, so as to obtain the resource and environmental carrying capacity data of the land area to be planned; to perform spatial constraint processing on the simulated space of the land area to be planned to obtain the spatial constraint conditions of the land area to be planned; to perform spatial layout planning optimization processing on the simulated space of the land area to be planned based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraint conditions of the land area to be planned, so as to obtain the land area spatial layout planning optimization results.

[0151] In summary, the present invention provides a land use planning system based on remote sensing images. The land use planning system based on remote sensing images consists of an image processing module for a land area to be planned, a land remote sensing image spatial simulation statistics module, a land area spatial utilization classification and evaluation module, and a land area spatial layout planning optimization module. It can realize any of the land use planning methods based on remote sensing images described in the present invention, and is used to combine the operations between computer programs running on each module to realize any of the land use planning methods based on remote sensing images. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient land use planning process, thereby simplifying the operation process of the land use planning system based on remote sensing images.

[0152] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A land use planning method based on remote sensing images, characterized in that: The following steps are involved: Step S1: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtain remote sensing images of the land area to be planned; performing image preprocessing on the remote sensing images of the land area to be planned, and obtain remote sensing standard images of the land area to be planned; Step S2: performing land space simulation analysis on the remote sensing standard image of the land area to be planned to obtain a simulated space of the land area to be planned; performing vegetation coverage and building distribution statistical analysis on the simulated space of the land area to be planned to obtain vegetation coverage degree data of the land area to be planned and building distribution data of the land area to be planned; Step S3: Based on the vegetation coverage data of the land area to be planned and the building distribution data of the land area to be planned, the land use classification processing is performed on the simulated space of the land area to be planned to obtain the space of the area to be planned for each type of land use; Perform land resource assessment and analysis on various land use areas to be planned to obtain land resource levels of various land use areas to be planned; wherein step S3 includes the following steps: Step S31: performing vegetation coverage characteristic analysis on the vegetation coverage degree data of the land area to be planned, and obtaining vegetation coverage characteristic data of the land area to be planned; Step S32: Analyze the building distribution characteristics of the building distribution data of the land area to be planned to obtain the building distribution characteristic data of the land area to be planned; Step S33: Based on the vegetation coverage characteristic data of the land area to be planned and the building distribution characteristic data of the land area to be planned, land use classification processing is performed on the simulated space of the land area to be planned to obtain various types of land use area spaces to be planned; Step S34: Performing land resource statistics analysis on various land use areas to be planned, and obtaining land resource status data of various land use areas to be planned; Step S35: Based on the land resource status data of various land use spaces to be planned, land resource assessment and analysis is performed on various land use space to be planned to obtain the land resource level of various land use space to be planned; wherein step S35 includes the following steps: Step S351: extracting and processing the land adaptability data of the land resource status data of each type of land use to be planned, and obtaining the land resource adaptation status data of each type of land use; analyzing the land adaptability assessment index of each type of land use to be planned regional space based on the land resource adaptation status data of each type of land use, and obtaining the land adaptability assessment index of each type of land use, and assigning the first assessment weight to the land adaptability assessment index of each type of land use; Step S352: extracting and processing the ecological environment data of the land resource status data of each type of land use to be planned, and obtaining the ecological environment status data of the land resources of each type of land use; analyzing the ecological environment assessment index of each type of land use to be planned regional space based on the ecological environment status data of the land resources of each type of land use, and obtaining the land ecological environment quality assessment index of each type of land use, and assigning the second assessment weight to the land ecological environment quality assessment index of each type of land use; Step S353: extracting and processing the land resource status data of various land use spaces to be planned, and obtaining the land resource utilization status data of various land use spaces; analyzing the resource utilization evaluation index of various land use spaces to be planned based on the land resource utilization status data of various land use spaces, and obtaining the land resource utilization potential evaluation index of various land use spaces, and assigning the third evaluation weight to the land resource utilization potential evaluation index of various land use spaces; Step S354: performing land resource assessment and analysis on the land adaptability assessment index of each type of land use, the land ecological environment quality assessment index of each type of land use, and the land resource utilization potential assessment index of each type of land use according to the first assessment weight, the second assessment weight, and the third assessment weight, to obtain the land resource level of the space to be planned for each type of land use; Step S4: Based on the land resource levels of various types of land use to be planned, the simulated space of the land area to be planned is evaluated and analyzed for resource and environmental carrying capacity, and the data of resource and environmental carrying capacity of the land area to be planned is obtained; the simulated space of the land area to be planned is processed for spatial constraints, so as to obtain spatial constraints of the land area to be planned; based on the data of resource and environmental carrying capacity of the land area to be planned and the spatial constraints of the land area to be planned, the simulated space of the land area to be planned is processed for spatial layout planning optimization, so as to obtain the land area spatial layout planning optimization result, wherein step S4 includes the following steps: Step S41: Based on the land resource levels of various types of land use to be planned, a resource and environmental carrying capacity assessment analysis is performed on the simulated space of the land area to be planned, to obtain resource and environmental carrying capacity data of the land area to be planned; Step S42: Perform spatial planning impact analysis on the simulated space of the land area to be planned, and obtain spatial impact factor data of the land area to be planned; Step S43: performing spatial constraint processing on the simulated space of the land area to be planned according to the spatial influencing factor data of the land area to be planned, so as to clarify the spatial constraint conditions of the land use planning, including the restricted area of ​​land use, the environmental protection area, the construction control area, the water source, and the traffic artery, and determining the feasible scope and constraint conditions of land use, so as to obtain the spatial constraint conditions of the land area to be planned; Step S44: performing initial spatial layout planning processing on the simulated space of the land area to be planned, so as to obtain an initial spatial layout planning result of the land area; Step S45: Based on the resource and environmental carrying capacity data of the land area to be planned and the spatial constraints of the land area to be planned, the initial planning result of the land area spatial layout is analyzed for the optimization target of the layout planning, so as to obtain the optimization target of the land area spatial layout planning; Step S46: performing spatial layout planning optimization processing on the simulated space of the land area to be planned according to the land area spatial layout planning optimization target to obtain the land area spatial layout planning optimization result.

2. The land use planning method based on remote sensing images according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: using satellite remote sensing imaging equipment to collect and process remote sensing images of the land area to be planned, and obtaining remote sensing images of the land area to be planned; Step S12: performing image cloud removal processing on the remote sensing image of the land area to be planned, so as to obtain a remote sensing cloud removal image of the land area to be planned; Step S13: performing image denoising on the remote sensing cloud-removed image of the land area to be planned, to obtain a remote sensing denoised image of the land area to be planned; Step S14: performing image correction processing on the remote sensing denoised image of the land area to be planned to obtain a remote sensing comprehensive corrected image of the land area to be planned; Step S15: performing image equalization processing on the remote sensing comprehensive correction image of the planned land area to obtain a remote sensing equalized image of the planned land area; performing image registration processing on the remote sensing equalized image of the planned land area to obtain a remote sensing standard image of the planned land area.

3. The land use planning method based on remote sensing images according to claim 2 is characterized in that: Step S14 includes the following steps: Step S141: performing atmospheric correction processing on the remote sensing denoised image of the land area to be planned, so as to obtain the remote sensing atmospheric correction image of the land area to be planned; Step S142: performing radiation calibration and correction processing on the remote sensing atmospheric correction image of the land area to be planned, so as to obtain a remote sensing radiation calibration and correction image of the land area to be planned; Step S143: performing ground control point sampling processing on the remote sensing radiation calibration and correction image of the land area to be planned, and obtaining ground control points of the land area to be planned; Step S144: performing pixel and geographic coordinate acquisition processing on the remote sensing radiation calibration and correction image of the land area to be planned based on the ground control points of the land area to be planned, so as to obtain the pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned; Step S145: geometrically correcting the remote sensing radiation calibration and correction image of the land area to be planned based on the pixel coordinates of the ground control points of the land area to be planned and the geographic coordinates of the ground control points of the land area to be planned to obtain a remote sensing comprehensive correction image of the land area to be planned.

4. The land use planning method based on remote sensing images according to claim 3 is characterized in that: Step S145 includes the following steps: Perform matching statistical calculation on the pixel coordinates of the ground control points in the planned land area and the geographic coordinates of the ground control points in the planned land area to obtain the ground control point pixel-geographic coordinate matching index; According to the ground control point pixel-geographic coordinate matching index, the ground control point pixel coordinates of the land area to be planned and the ground control point geographic coordinates of the land area to be planned are matched and mapped to obtain the ground control point pixel-geographic coordinate matching mapping relationship; Based on the ground control point pixel-geographic coordinate matching mapping relationship, the remote sensing radiation calibration and correction image of the planned land area is geometrically fitted to obtain the remote sensing geometric fitting image of the planned land area; Perform fitting error analysis on the remote sensing geometric fitting image of the land area to be planned, and obtain geometric fitting error data of the image of the land area to be planned; Based on the geometric fitting error data of the image of the land area to be planned, the remote sensing geometric fitting image of the land area to be planned is corrected and transformed to obtain a comprehensive remote sensing corrected image of the land area to be planned.

5. The land use planning method based on remote sensing images according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: performing land scene region segmentation processing on the remote sensing standard image of the land area to be planned, and obtaining the land object scene region image to be planned; Step S22: performing regional boundary optimization processing on the image of the land and object scene area to be planned, and obtaining an optimized image of the boundary of the land and object scene area to be planned; Step S23: performing land space simulation analysis on the optimized image of the boundary of the land feature scene area to be planned, so as to obtain a simulated space of the land area to be planned; Step S24: Performing a statistical analysis of vegetation coverage on the simulated space of the land area to be planned, and obtaining vegetation coverage degree data of the land area to be planned; Step S25: Performing building distribution statistical analysis on the simulated space of the land area to be planned to obtain building distribution data of the land area to be planned.

6. The land use planning method based on remote sensing images according to claim 5 is characterized in that: Step S23 includes the following steps: Step S231: performing spatial structure topology analysis on the boundary optimization image of the land and object scene area to be planned, and obtaining spatial structure topology data of the land and object scene area to be planned; Step S232: performing spatial feature analysis on the spatial structure topological data of the land object scene area to be planned, and obtaining spatial feature data of the land object scene area to be planned; Step S233: performing spatial feature point set sampling processing on the spatial feature data of the land and object scene area to be planned, and obtaining the spatial feature point set of each land and object scene area to be planned; Step S234: performing spatial correlation analysis on the spatial feature point sets of each land object scene area to be planned, and obtaining spatial correlation connection relationship data between each land object scene area to be planned; Step S235: Based on the spatial correlation connection relationship data between the various land object scene areas to be planned, land space simulation analysis is performed on the optimized image of the boundary of the land object scene area to be planned to obtain a simulated space of the land area to be planned.

7. A land use planning system based on remote sensing images, characterized in that: Used to execute the land use planning method based on remote sensing images as claimed in claim 1, the land use planning system based on remote sensing images comprises: The image processing module of the land area to be planned is used to collect and process remote sensing images of the land area to be planned using satellite remote sensing imaging equipment to obtain remote sensing images of the land area to be planned; and to perform image preprocessing on the remote sensing images of the land area to be planned, so as to obtain remote sensing standard images of the land area to be planned; The land remote sensing image space simulation statistics module is used to perform land space simulation analysis on the remote sensing standard image of the planned land area to obtain the simulated space of the planned land area; perform vegetation coverage and building distribution statistics on the simulated space of the planned land area to obtain the vegetation coverage degree data and building distribution data of the planned land area; The land area spatial utilization classification and evaluation module is used to perform vegetation coverage characteristic analysis on the vegetation coverage degree data of the land area to be planned, and obtain the vegetation coverage characteristic data of the land area to be planned; perform building distribution characteristic analysis on the building distribution data of the land area to be planned, and obtain the building distribution characteristic data of the land area to be planned; perform land use classification processing on the simulated space of the land area to be planned based on the vegetation coverage characteristic data of the land area to be planned and the building distribution characteristic data of the land area to be planned, and obtain various types of land use to be planned area space; perform land resource statistical analysis on various types of land use to be planned area space, and obtain land resource status data of various types of land use to be planned space; perform land adaptation data extraction processing on the land resource status data of various types of land use to be planned space, and obtain land resource adaptation status data of various types of land use; perform land adaptation assessment index analysis on various types of land use to be planned area space based on the land resource adaptation status data of various types of land use, and obtain land adaptability assessment indicators of various types of land use, and assign the first assessment weight to the land adaptability assessment indicators of various types of land use; Extract and process ecological environment data to obtain ecological environment status data of various types of land use and land resources; analyze ecological environment assessment indicators of various types of land use to be planned regional spaces based on ecological environment status data of various types of land use and land resources to obtain ecological environment quality assessment indicators of various types of land use, and assign second assessment weights to ecological environment quality assessment indicators of various types of land use; extract resource utilization data from land resource status data of various types of land use to be planned spaces to obtain land resource utilization status data of various types of land use; analyze resource utilization assessment indicators of various types of land use to be planned regional spaces based on land resource utilization status data of various types of land use and obtain land resource utilization potential assessment indicators of various types of land use, and assign third assessment weights to land resource utilization potential assessment indicators of various types of land use; conduct land resource assessment and analysis on land adaptability assessment indicators of various types of land use, ecological environment quality assessment indicators of various types of land use, and land resource utilization potential assessment indicators of various types of land use according to the first assessment weight, the second assessment weight, and the third assessment weight, and obtain land resource levels of various types of land use to be planned spaces; The land area spatial layout planning optimization module is used to conduct resource and environmental carrying capacity assessment and analysis on the simulated space of the planned land area based on the land resource level of the planned space of various types of land use, so as to obtain the data of resource and environmental carrying capacity of the planned land area; to conduct spatial planning impact analysis on the simulated space of the planned land area, so as to obtain the data of spatial influencing factors of the planned land area; to conduct spatial constraint processing on the simulated space of the planned land area according to the data of spatial influencing factors of the planned land area, so as to clarify the spatial restriction conditions of land use planning, including the restricted area of ​​land use, environmental protection area, construction control area, water source, and traffic artery, and determine the feasible scope and constraint conditions of land use, so as to obtain the spatial constraint conditions of the planned land area; to conduct initial spatial layout planning processing on the simulated space of the planned land area, so as to obtain the initial planning result of the spatial layout of the land area; to conduct layout planning optimization target analysis on the initial planning result of the spatial layout of the land area based on the data of resource and environmental carrying capacity of the planned land area and the spatial constraint conditions of the planned land area, so as to obtain the optimization target of the spatial layout planning of the land area; to conduct spatial layout planning optimization processing on the simulated space of the planned land area according to the optimization target of the spatial layout planning of the land area, so as to obtain the optimization result of the spatial layout planning of the land area.

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