A multi-source remote sensing image processing method and system

Abstract

The present invention relates to the technical field of remote sensing image processing, and specifically discloses a multi-source remote sensing image processing method and system. The present invention compares and analyzes multiple remote sensing images, marks a key remote sensing image and multiple other remote sensing images; performs mosaic processing on each of them to generate a key mosaic image and multiple other mosaic images; marks multiple key feature objects, and analyzes the key feature information of the multiple key feature objects; screens multiple other mosaic images to obtain multiple target mosaic images, and performs correction and enhancement processing on the multiple target mosaic images. The method can mark a key remote sensing image and multiple other remote sensing images, perform mosaic processing and feature analysis to obtain key feature information, perform image screening according to the key feature information, and perform correction and enhancement processing on the multiple target mosaic images obtained by screening, thereby screening out remote sensing images suitable for fusion from a large number of multi-source remote sensing images, and prepare for multi-source remote sensing image fusion.

Description

Technical Field

[0001] The present invention belongs to the technical field of remote sensing image processing, and in particular relates to a multi-source remote sensing image processing method and system. Background Art

[0002] Remote sensing images are films or photographs that record the electromagnetic waves of various ground features. They are mainly divided into aerial photographs and satellite photos. Imaging methods include aerial photography, aerial scanning, and microwave radar. They are widely used in land cover monitoring, forest cover monitoring, grassland cover monitoring, and wetland resource monitoring. With the widespread application of multi-sensor image fusion technology in fields such as medicine, remote sensing, weather forecasting, and automatic target detection, multi-source remote sensing image fusion technology has also experienced rapid development.

[0003] Remote sensing image processing refers to the process of acquiring, processing, and applying images through remote sensing technology. With the advancement of remote sensing technology, multi-source remote sensing image data for the same region, acquired through Earth observation using various satellite sensors, has increased significantly, providing a wealth of information for natural resource surveys and environmental monitoring. However, due to inconsistencies in various factors such as acquisition altitude, angle, width, and pixel count, existing remote sensing image processing methods have made it difficult to select suitable images for fusion from a large number of multi-source remote sensing images. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a multi-source remote sensing image processing method and system, aiming to solve the problems raised in the background technology.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A multi-source remote sensing image processing method, the method specifically comprising the following steps:

[0007] Acquire multiple remote sensing images corresponding to multi-source remote sensing, perform comparative analysis on the multiple remote sensing images, and mark key remote sensing images and multiple other remote sensing images;

[0008] performing mosaic processing on the key remote sensing image and the plurality of other remote sensing images respectively to generate a key mosaic image and a plurality of other mosaic images;

[0009] Performing feature analysis on the key mosaic image, marking a plurality of key feature objects, and analyzing key feature information of the plurality of key feature objects;

[0010] According to the key feature information, the multiple other mosaic images are screened to obtain multiple target mosaic images, and correction and enhancement processing is performed on the multiple target mosaic images.

[0011] As a further limitation of the technical solution of the embodiment of the present invention, the obtaining of multiple remote sensing images corresponding to multi-source remote sensing, performing comparative analysis on the multiple remote sensing images, and marking the key remote sensing image and the multiple other remote sensing images specifically includes the following steps:

[0012] Acquire multiple remote sensing images corresponding to multi-source remote sensing;

[0013] performing a clear comparison on the plurality of remote sensing images to generate a clear comparison result;

[0014] Arrange the images according to the clarity comparison result to generate image arrangement information;

[0015] According to the image arrangement information, the key remote sensing image and multiple other remote sensing images are marked.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the mosaicking process is performed on the key remote sensing image and the plurality of other remote sensing images to generate the key mosaicked image and the plurality of other mosaicked images, which specifically includes the following steps:

[0017] Acquire a plurality of first homologous remote sensing images corresponding to the key remote sensing image;

[0018] Acquire a plurality of second homologous remote sensing images corresponding to the plurality of other remote sensing images respectively;

[0019] Mosaicing the key remote sensing image using a plurality of the first homologous remote sensing images to generate a key mosaic image;

[0020] The corresponding other remote sensing images are mosaicked using the plurality of second homologous remote sensing images to generate a plurality of other mosaicked images.

[0021] As a further limitation of the technical solution of the embodiment of the present invention, the performing feature analysis on the key mosaic image, marking a plurality of key feature objects, and analyzing key feature information of the plurality of key feature objects specifically includes the following steps:

[0022] Performing feature analysis on the key mosaic image and marking a plurality of key feature objects;

[0023] Performing object feature analysis on the plurality of key feature objects to generate a plurality of object feature information;

[0024] Analyzing the connection characteristics between the plurality of key feature objects to generate connection feature information;

[0025] The contact feature information and a plurality of object feature information are integrated to generate key feature information.

[0026] As a further limitation of the technical solution of the embodiment of the present invention, the screening of the multiple other mosaic images according to the key feature information to obtain multiple target mosaic images, and performing correction and enhancement processing on the multiple target mosaic images specifically include the following steps:

[0027] performing feature comparison analysis on the plurality of other mosaic images according to the key feature information to generate feature comparison information;

[0028] screening the other mosaic images according to the feature comparison information to obtain a plurality of target mosaic images;

[0029] performing image correction on the plurality of target mosaic images to generate a plurality of target corrected images;

[0030] Image enhancement is performed on the plurality of target corrected images to generate a plurality of target enhanced images.

[0031] A multi-source remote sensing image processing system includes an image comparison and analysis unit, an image mosaic processing unit, a feature analysis and marking unit, and an image screening processing unit, wherein:

[0032] An image comparison and analysis unit is used to obtain a plurality of remote sensing images corresponding to multi-source remote sensing, and to compare and analyze the plurality of remote sensing images, and mark a key remote sensing image and a plurality of other remote sensing images;

[0033] An image mosaic processing unit, configured to perform mosaic processing on the key remote sensing image and the plurality of other remote sensing images respectively to generate a key mosaic image and a plurality of other mosaic images;

[0034] a feature analysis and marking unit, configured to perform feature analysis on the key mosaic image, mark a plurality of key feature objects, and analyze key feature information of the plurality of key feature objects;

[0035] The image screening and processing unit is used to screen the multiple other mosaic images according to the key feature information, obtain multiple target mosaic images, and perform correction and enhancement processing on the multiple target mosaic images.

[0036] As a further limitation of the technical solution of the embodiment of the present invention, the image comparison and analysis unit specifically includes:

[0037] An image acquisition module is used to acquire multiple remote sensing images corresponding to multi-source remote sensing;

[0038] a clarity comparison module, configured to perform clarity comparison on the plurality of remote sensing images and generate a clarity comparison result;

[0039] an image arrangement module, configured to arrange images according to the clarity comparison result and generate image arrangement information;

[0040] The image marking module is used to mark the key remote sensing image and multiple other remote sensing images according to the image arrangement information.

[0041] As a further limitation of the technical solution of the embodiment of the present invention, the image mosaic processing unit specifically includes:

[0042] A first homologous acquisition module is used to acquire a plurality of first homologous remote sensing images corresponding to the key remote sensing image;

[0043] A second homologous acquisition module is used to acquire a plurality of second homologous remote sensing images corresponding to the plurality of other remote sensing images;

[0044] A first mosaic processing module is configured to perform mosaic processing on the key remote sensing image using a plurality of the first homologous remote sensing images to generate a key mosaic image;

[0045] The second mosaic processing module is used to perform mosaic processing on the corresponding other remote sensing images through the plurality of the second homologous remote sensing images to generate a plurality of other mosaic images.

[0046] As a further limitation of the technical solution of the embodiment of the present invention, the feature analysis and marking unit specifically includes:

[0047] An image feature analysis module, configured to perform feature analysis on the key mosaic image and mark a plurality of key feature objects;

[0048] An object feature analysis module, configured to perform object feature analysis on a plurality of key feature objects to generate a plurality of object feature information;

[0049] A connection feature analysis module, configured to analyze the connection features between a plurality of key feature objects and generate connection feature information;

[0050] The feature integration module is used to integrate the contact feature information and a plurality of object feature information to generate key feature information.

[0051] As a further limitation of the technical solution of the embodiment of the present invention, the image screening processing unit specifically includes:

[0052] A feature comparison module, configured to perform feature comparison analysis on the plurality of other mosaic images according to the key feature information to generate feature comparison information;

[0053] An image screening module, configured to screen the plurality of other mosaic images according to the feature comparison information to obtain a plurality of target mosaic images;

[0054] An image correction module, configured to perform image correction on the plurality of target mosaic images to generate a plurality of target corrected images;

[0055] The image enhancement module is used to perform image enhancement on the multiple target correction images to generate multiple target enhanced images.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The embodiment of the present invention compares and analyzes multiple remote sensing images, marks a key remote sensing image and multiple other remote sensing images; performs mosaic processing on each of them to generate a key mosaic image and multiple other mosaic images; marks multiple key feature objects and analyzes key feature information of the multiple key feature objects; screens multiple other mosaic images to obtain multiple target mosaic images, and performs correction and enhancement processing on the multiple target mosaic images. The key remote sensing image and multiple other remote sensing images can be marked, mosaic processing and feature analysis can be performed to obtain key feature information, image screening can be performed according to the key feature information, and correction and enhancement processing can be performed on the multiple target mosaic images obtained by screening, thereby screening remote sensing images suitable for fusion from a large number of multi-source remote sensing images, and preparing for multi-source remote sensing image fusion. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0059] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0060] Figure 2 A flowchart of remote sensing image comparison and marking in the method provided by an embodiment of the present invention is shown.

[0061] Figure 3 The flowchart of remote sensing image mosaicking processing in the method provided by the embodiment of the present invention is shown.

[0062] Figure 4 A flow chart of mosaic image feature analysis in the method provided by an embodiment of the present invention is shown.

[0063] Figure 5 A flowchart of image screening, correction and enhancement in the method provided by an embodiment of the present invention is shown.

[0064] Figure 6 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0065] Figure 7 The figure shows a structural block diagram of an image comparison and analysis unit in a system provided by an embodiment of the present invention.

[0066] Figure 8 The figure shows a structural block diagram of an image mosaic processing unit in a system provided by an embodiment of the present invention.

[0067] Figure 9 The structure block diagram of the feature analysis and marking unit in the system provided by the embodiment of the present invention is shown.

[0068] Figure 10 The figure shows a structural block diagram of an image screening processing unit in a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0070] Understandably, with the advancement of remote sensing technology, multi-source remote sensing image data for the same region, acquired through Earth observation using various satellite sensors, is increasing, providing rich data for natural resource surveys and environmental monitoring. However, due to inconsistencies in various factors, such as the shooting altitude, angle, width, and pixel count, it is difficult to select suitable remote sensing images for fusion from a large number of multi-source remote sensing images in existing remote sensing image processing.

[0071] To solve the above problems, the embodiment of the present invention compares and analyzes multiple remote sensing images, marks the key remote sensing image and multiple other remote sensing images; performs mosaic processing on each of them to generate the key mosaic image and multiple other mosaic images; marks multiple key feature objects and analyzes the key feature information of the multiple key feature objects; screens multiple other mosaic images according to the key feature information to obtain multiple target mosaic images, and performs correction and enhancement processing on the multiple target mosaic images. The key remote sensing image and multiple other remote sensing images can be marked, mosaic processing and feature analysis can be performed to obtain key feature information, image screening can be performed according to the key feature information, and correction and enhancement processing can be performed on the multiple target mosaic images obtained by screening, thereby realizing the screening of remote sensing images suitable for fusion from a large number of multi-source remote sensing images, and preparing for the fusion of multi-source remote sensing images.

[0072] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0073] Specifically, a multi-source remote sensing image processing method comprises the following steps:

[0074] Step S101 : acquiring a plurality of remote sensing images corresponding to multi-source remote sensing, performing comparative analysis on the plurality of remote sensing images, and marking a key remote sensing image and a plurality of other remote sensing images.

[0075] In an embodiment of the present invention, remote sensing reception is performed to obtain multiple remote sensing images transmitted by multi-source remote sensing, and clarity comparison results of the multiple remote sensing images are generated by performing clarity analysis and comparison on the multiple remote sensing images. Then, according to the quality of the clarity comparison, the multiple remote sensing images are arranged to generate image arrangement information. According to the image arrangement information, the remote sensing image with the best clarity is selected and marked as a key remote sensing image, and multiple remote sensing images other than the key remote sensing image are marked as other remote sensing images.

[0076] Specifically, Figure 2 A flowchart of remote sensing image comparison and marking in the method provided by an embodiment of the present invention is shown.

[0077] In a preferred embodiment of the present invention, the step of acquiring a plurality of remote sensing images corresponding to multi-source remote sensing, performing comparative analysis on the plurality of remote sensing images, and marking a key remote sensing image and a plurality of other remote sensing images specifically includes the following steps:

[0078] Step S1011: Acquire multiple remote sensing images corresponding to multi-source remote sensing.

[0079] Step S1012: performing clarity comparison on the plurality of remote sensing images to generate a clarity comparison result.

[0080] Step S1013 , arranging images according to the clarity comparison result to generate image arrangement information.

[0081] Step S1014: marking the key remote sensing image and multiple other remote sensing images according to the image arrangement information.

[0082] Furthermore, the multi-source remote sensing image processing method further includes the following steps:

[0083] Step S102 : performing mosaic processing on the key remote sensing image and the plurality of other remote sensing images respectively to generate a key mosaic image and a plurality of other mosaic images.

[0084] In an embodiment of the present invention, during a continuous multi-source remote sensing transmission process, multiple first homologous remote sensing images corresponding to a key remote sensing image are received, and multiple second homologous remote sensing images corresponding to multiple other remote sensing images are received. The key remote sensing image is mosaicked using the multiple first homologous remote sensing images to generate a key mosaicked image. The other remote sensing images are mosaicked using the multiple first homologous remote sensing images corresponding to the other mosaicked images to complete the mosaicking of the multiple other remote sensing images and generate multiple related other mosaicked images.

[0085] It can be understood that remote sensing image mosaicking is the process of stitching two or more digital images (which may be acquired under different photographic conditions) together to form a remote sensing image of a larger range. By mosaicking the key remote sensing image and multiple other remote sensing images, a correspondingly larger remote sensing image can be obtained, which can expose more features and facilitate subsequent processing.

[0086] Specifically, Figure 3 The flowchart of remote sensing image mosaicking processing in the method provided by the embodiment of the present invention is shown.

[0087] In a preferred embodiment of the present invention, the mosaicking process is performed on the key remote sensing image and the plurality of other remote sensing images to generate the key mosaicked image and the plurality of other mosaicked images, specifically comprising the following steps:

[0088] Step S1021 : Acquire a plurality of first homologous remote sensing images corresponding to the key remote sensing image.

[0089] Step S1022: Acquire a plurality of second homologous remote sensing images corresponding to the plurality of other remote sensing images.

[0090] Step S1023 : mosaicking the key remote sensing image using a plurality of the first homologous remote sensing images to generate a key mosaicked image.

[0091] Step S1024 : mosaicking the corresponding other remote sensing images using the plurality of second homologous remote sensing images to generate a plurality of other mosaicked images.

[0092] Furthermore, the multi-source remote sensing image processing method further includes the following steps:

[0093] Step S103 : performing feature analysis on the key mosaic image, marking a plurality of key feature objects, and analyzing key feature information of the plurality of key feature objects.

[0094] In an embodiment of the present invention, feature analysis is performed on a key mosaic image, multiple representative key feature objects in the key mosaic image are marked, and object feature information corresponding to the multiple key feature objects is obtained through analysis, and feature analysis is performed on the relative connections between the multiple key feature objects to generate connection feature information, and then the multiple object feature information and connection feature information are integrated to generate key feature information of the multiple key feature objects in the key mosaic image.

[0095] It can be understood that the object feature information may be information such as the shape, size, color, etc. of the key feature object; the connection feature information may be information such as the relative distance and relative orientation between multiple key feature objects.

[0096] Specifically, Figure 4 A flow chart of mosaic image feature analysis in the method provided by an embodiment of the present invention is shown.

[0097] In a preferred embodiment of the present invention, the step of performing feature analysis on the key mosaic image, marking a plurality of key feature objects, and analyzing key feature information of the plurality of key feature objects specifically includes the following steps:

[0098] Step S1031 : performing feature analysis on the key mosaic image and marking a plurality of key feature objects.

[0099] Step S1032: performing object feature analysis on the plurality of key feature objects to generate a plurality of object feature information.

[0100] Step S1033: Analyze the connection characteristics between the plurality of key feature objects to generate connection characteristic information.

[0101] Step S1034: synthesize the contact feature information and the plurality of object feature information to generate key feature information.

[0102] Furthermore, the multi-source remote sensing image processing method further includes the following steps:

[0103] Step S104 : screening the other mosaic images according to the key feature information to obtain a plurality of target mosaic images, and performing correction and enhancement processing on the target mosaic images.

[0104] In an embodiment of the present invention, multiple other mosaic images are screened according to key feature information to obtain multiple target mosaic images that also have key feature information, and then image correction and image enhancement are performed on the multiple target mosaic images to generate multiple target enhanced images.

[0105] It is understandable that all types of remote sensing images have the problem of geometric correction. Since people are accustomed to using orthographic projection topographic maps, the distortion of all types of remote sensing images must be geometrically corrected based on the topographic map. Remote sensing image correction refers to correcting deformed image data or low-quality image data to more realistically reflect the scene. Image correction mainly includes radiation correction and geometric correction. Image enhancement is a process to improve the visual effect of the image. When analyzing remote sensing images, in order to enable the analyst to easily and accurately identify the image content, the image data must be processed according to the analysis purpose. The purpose is to improve the readability of the image. Image correction is to eliminate the errors and distortions caused by the observation, so that the remote sensing observation data is closer to the true value. The main purpose of the process, while image enhancement focuses on enabling the analyst to visually identify the image content. Typical image enhancements include grayscale swapping, color synthesis, etc.

[0106] Specifically, Figure 5 A flowchart of image screening, correction and enhancement in the method provided by an embodiment of the present invention is shown.

[0107] Among them, in the preferred embodiment provided by the present invention, the screening of the multiple other mosaic images according to the key feature information to obtain multiple target mosaic images, and the correction and enhancement processing of the multiple target mosaic images specifically include the following steps:

[0108] Step S1041 : performing feature comparison analysis on the other mosaic images according to the key feature information to generate feature comparison information.

[0109] Step S1042 : screening the other mosaic images according to the feature comparison information to obtain a plurality of target mosaic images.

[0110] Step S1043 , performing image correction on the multiple target mosaic images to generate multiple target corrected images.

[0111] Step S1044: performing image enhancement on the plurality of target corrected images to generate a plurality of target enhanced images.

[0112] Further, Figure 6 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0113] In another preferred embodiment of the present invention, a multi-source remote sensing image processing system includes:

[0114] The image comparison and analysis unit 101 is used to obtain multiple remote sensing images corresponding to multi-source remote sensing, perform comparison and analysis on the multiple remote sensing images, and mark key remote sensing images and multiple other remote sensing images.

[0115] In an embodiment of the present invention, the image comparison and analysis unit 101 obtains multiple remote sensing images transmitted by multi-source remote sensing by performing remote sensing reception, and generates clarity comparison results for the multiple remote sensing images by performing clarity analysis and comparison on the multiple remote sensing images. Then, the multiple remote sensing images are arranged according to the quality of the clarity comparison to generate image arrangement information. According to the image arrangement information, the remote sensing image with the best clarity is selected and marked as a key remote sensing image, and multiple remote sensing images other than the key remote sensing image are marked as other remote sensing images.

[0116] Specifically, Figure 7 FIG. 1 shows a structural block diagram of the image comparison and analysis unit 101 in the system provided by an embodiment of the present invention.

[0117] In a preferred embodiment of the present invention, the image comparison and analysis unit 101 specifically includes:

[0118] The image acquisition module 1011 is used to acquire multiple remote sensing images corresponding to multi-source remote sensing.

[0119] The clarity comparison module 1012 is configured to perform clarity comparison on the plurality of remote sensing images and generate a clarity comparison result.

[0120] The image arrangement module 1013 is configured to arrange images according to the clarity comparison result and generate image arrangement information.

[0121] The image marking module 1014 is configured to mark the key remote sensing image and multiple other remote sensing images according to the image arrangement information.

[0122] Furthermore, the multi-source remote sensing image processing system further includes:

[0123] The image mosaic processing unit 102 is configured to perform mosaic processing on the focused remote sensing image and the plurality of other remote sensing images respectively to generate a focused mosaic image and a plurality of other mosaic images.

[0124] In an embodiment of the present invention, during a continuous multi-source remote sensing transmission process, the image mosaicking processing unit 102 receives a plurality of first homologous remote sensing images corresponding to a key remote sensing image, receives a plurality of second homologous remote sensing images corresponding to a plurality of other remote sensing images, performs mosaicking processing on the key remote sensing image through the plurality of first homologous remote sensing images to generate a key mosaicked image, and performs mosaicking processing on the other remote sensing images through the plurality of first homologous remote sensing images corresponding to the other mosaicked images, completes the mosaicking processing of the plurality of other remote sensing images, and generates a plurality of related other mosaicked images.

[0125] Specifically, Figure 8 FIG. 1 shows a structural block diagram of the image mosaic processing unit 102 in the system provided by an embodiment of the present invention.

[0126] In a preferred embodiment of the present invention, the image mosaic processing unit 102 specifically includes:

[0127] The first homologous acquisition module 1021 is configured to acquire a plurality of first homologous remote sensing images corresponding to the key remote sensing image.

[0128] The second homologous acquisition module 1022 is configured to acquire a plurality of second homologous remote sensing images corresponding to the plurality of other remote sensing images.

[0129] The first mosaic processing module 1023 is configured to perform mosaic processing on the key remote sensing image using a plurality of the first homologous remote sensing images to generate a key mosaic image.

[0130] The second mosaicking processing module 1024 is configured to perform mosaicking processing on corresponding other remote sensing images using the plurality of second homologous remote sensing images to generate a plurality of other mosaicked images.

[0131] Furthermore, the multi-source remote sensing image processing system further includes:

[0132] The feature analysis and marking unit 103 is configured to perform feature analysis on the key mosaic image, mark a plurality of key feature objects, and analyze key feature information of the plurality of key feature objects.

[0133] In an embodiment of the present invention, the feature analysis marking unit 103 marks multiple representative key feature objects in the key mosaic image by performing feature analysis on the key mosaic image, and analyzes and obtains object feature information corresponding to the multiple key feature objects, and generates connection feature information by performing feature analysis on the relative connections between the multiple key feature objects, and then integrates the multiple object feature information and the connection feature information to generate key feature information of the multiple key feature objects in the key mosaic image.

[0134] Specifically, Figure 9 FIG. 1 shows a structural block diagram of the feature analysis and marking unit 103 in the system provided by an embodiment of the present invention.

[0135] In a preferred embodiment of the present invention, the feature analysis and marking unit 103 specifically includes:

[0136] The image feature analysis module 1031 is used to perform feature analysis on the key mosaic image and mark a plurality of key feature objects.

[0137] The object feature analysis module 1032 is configured to perform object feature analysis on the plurality of key feature objects to generate a plurality of object feature information.

[0138] The connection feature analysis module 1033 is used to analyze the connection features between the plurality of key feature objects and generate connection feature information.

[0139] The feature integration module 1034 is configured to integrate the contact feature information and a plurality of object feature information to generate key feature information.

[0140] Furthermore, the multi-source remote sensing image processing system further includes:

[0141] The image screening and processing unit 104 is configured to screen the other mosaic images according to the key feature information, obtain a plurality of target mosaic images, and perform correction and enhancement processing on the target mosaic images.

[0142] In an embodiment of the present invention, the image screening and processing unit 104 screens multiple other mosaic images according to the key feature information to obtain multiple target mosaic images that also have the key feature information, and then performs image correction and image enhancement on the multiple target mosaic images to generate multiple target enhanced images.

[0143] Specifically, Figure 10 FIG. 1 shows a structural block diagram of the image screening processing unit 104 in the system provided by an embodiment of the present invention.

[0144] In a preferred embodiment of the present invention, the image screening processing unit 104 specifically includes:

[0145] The feature comparison module 1041 is configured to perform feature comparison analysis on the other mosaic images according to the key feature information to generate feature comparison information.

[0146] The image screening module 1042 is configured to screen the other mosaic images according to the feature comparison information to obtain a plurality of target mosaic images.

[0147] The image correction module 1043 is configured to perform image correction on the plurality of target mosaic images to generate a plurality of target corrected images.

[0148] The image enhancement module 1044 is configured to perform image enhancement on the plurality of target corrected images to generate a plurality of target enhanced images.

[0149] In summary, the embodiments of the present invention can mark key remote sensing images and multiple other remote sensing images, perform mosaic processing and feature analysis, obtain key feature information, perform image screening according to the key feature information, and perform correction and enhancement processing on the multiple target mosaic images obtained by screening, thereby realizing the screening of remote sensing images suitable for fusion from a large number of multi-source remote sensing images, and preparing for the fusion of multi-source remote sensing images.

[0150] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0151] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When executed, the program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0152] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0153] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0154] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A multi-source remote sensing image processing method, characterized in that: The method specifically comprises the following steps: Acquire multiple remote sensing images corresponding to multi-source remote sensing, perform comparative analysis on the multiple remote sensing images, and mark key remote sensing images and multiple other remote sensing images; performing mosaic processing on the key remote sensing image and the plurality of other remote sensing images respectively to generate a key mosaic image and a plurality of other mosaic images; Performing feature analysis on the key mosaic image, marking a plurality of key feature objects, and analyzing key feature information of the plurality of key feature objects; According to the key feature information, the plurality of other mosaic images are screened to obtain a plurality of target mosaic images, and correction and enhancement processing is performed on the plurality of target mosaic images; The step of acquiring multiple remote sensing images corresponding to multi-source remote sensing, performing comparative analysis on the multiple remote sensing images, and marking key remote sensing images and multiple other remote sensing images specifically includes the following steps: Acquire multiple remote sensing images corresponding to multi-source remote sensing; performing a clear comparison on the plurality of remote sensing images to generate a clear comparison result; Arrange the images according to the clarity comparison result to generate image arrangement information; According to the image arrangement information, marking the key remote sensing image and multiple other remote sensing images; The mosaicking process is performed on the key remote sensing image and the other remote sensing images to generate the key mosaicked image and the other mosaicked images, which specifically includes the following steps: Acquire a plurality of first homologous remote sensing images corresponding to the key remote sensing image; Acquire a plurality of second homologous remote sensing images corresponding to the plurality of other remote sensing images respectively; Mosaicing the key remote sensing image using a plurality of the first homologous remote sensing images to generate a key mosaic image; Mosaicing the corresponding other remote sensing images using the plurality of second homologous remote sensing images to generate a plurality of other mosaic images; The performing feature analysis on the key mosaic image, marking a plurality of key feature objects, and analyzing key feature information of the plurality of key feature objects specifically includes the following steps: Performing feature analysis on the key mosaic image and marking a plurality of key feature objects; Performing object feature analysis on the plurality of key feature objects to generate a plurality of object feature information; Analyzing the connection characteristics between the plurality of key feature objects to generate connection feature information; The contact feature information and a plurality of object feature information are integrated to generate key feature information.

2. The multi-source remote sensing image processing method according to claim 1, characterized in that: The step of screening the other mosaic images according to the key feature information to obtain a plurality of target mosaic images, and performing correction and enhancement processing on the plurality of target mosaic images specifically includes the following steps: performing feature comparison analysis on the plurality of other mosaic images according to the key feature information to generate feature comparison information; screening the other mosaic images according to the feature comparison information to obtain a plurality of target mosaic images; performing image correction on the plurality of target mosaic images to generate a plurality of target corrected images; Image enhancement is performed on the plurality of target corrected images to generate a plurality of target enhanced images.

3. A multi-source remote sensing image processing system, implemented by the method according to any one of claims 1 or 2, characterized in that: The system includes an image comparison and analysis unit, an image mosaic processing unit, a feature analysis and marking unit, and an image screening processing unit, wherein: An image comparison and analysis unit is used to obtain a plurality of remote sensing images corresponding to multi-source remote sensing, and to compare and analyze the plurality of remote sensing images, and mark a key remote sensing image and a plurality of other remote sensing images; An image mosaic processing unit, configured to perform mosaic processing on the key remote sensing image and the plurality of other remote sensing images respectively to generate a key mosaic image and a plurality of other mosaic images; a feature analysis and marking unit, configured to perform feature analysis on the key mosaic image, mark a plurality of key feature objects, and analyze key feature information of the plurality of key feature objects; The image screening and processing unit is used to screen the multiple other mosaic images according to the key feature information, obtain multiple target mosaic images, and perform correction and enhancement processing on the multiple target mosaic images.

4. The multi-source remote sensing image processing system according to claim 3, characterized in that: The image comparison and analysis unit specifically includes: An image acquisition module is used to acquire multiple remote sensing images corresponding to multi-source remote sensing; a clarity comparison module, configured to perform clarity comparison on the plurality of remote sensing images and generate a clarity comparison result; an image arrangement module, configured to arrange images according to the clarity comparison result and generate image arrangement information; The image marking module is used to mark the key remote sensing image and multiple other remote sensing images according to the image arrangement information.

5. The multi-source remote sensing image processing system according to claim 3, characterized in that: The image mosaic processing unit specifically includes: A first homologous acquisition module is used to acquire a plurality of first homologous remote sensing images corresponding to the key remote sensing image; A second homologous acquisition module is used to acquire a plurality of second homologous remote sensing images corresponding to the plurality of other remote sensing images; A first mosaic processing module is configured to perform mosaic processing on the key remote sensing image using a plurality of the first homologous remote sensing images to generate a key mosaic image; The second mosaic processing module is used to perform mosaic processing on the corresponding other remote sensing images through the plurality of the second homologous remote sensing images to generate a plurality of other mosaic images.

6. The multi-source remote sensing image processing system according to claim 3, characterized in that: The feature analysis and marking unit specifically includes: An image feature analysis module, configured to perform feature analysis on the key mosaic image and mark a plurality of key feature objects; An object feature analysis module, configured to perform object feature analysis on a plurality of key feature objects to generate a plurality of object feature information; A connection feature analysis module, configured to analyze the connection features between a plurality of key feature objects and generate connection feature information; The feature integration module is used to integrate the contact feature information and a plurality of object feature information to generate key feature information.

7. The multi-source remote sensing image processing system according to claim 3, characterized in that: The image screening processing unit specifically includes: A feature comparison module, configured to perform feature comparison analysis on the plurality of other mosaic images according to the key feature information to generate feature comparison information; An image screening module, configured to screen the plurality of other mosaic images according to the feature comparison information to obtain a plurality of target mosaic images; An image correction module, configured to perform image correction on the plurality of target mosaic images to generate a plurality of target corrected images; The image enhancement module is used to perform image enhancement on the multiple target correction images to generate multiple target enhanced images.

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