41 results about "Land change" patented technology

The invention belongs to the technical field of mine geological monitoring, and discloses a non-fixed wing unmanned aerial vehicle airborne radar mine mining land change monitoring system and method.The system comprises a non-fixed wing unmanned aerial vehicle for loading a lidar, a lidar GPS receiver, an inertial navigation system, a laser transceiver, a static GPS receiver and a control and a post-processing system, and comprises inertial navigation control software, LIDAR data acquisition software, trajectory calculation software, point cloud data calculation post-processing software and point cloud post-processing software. Through acquisition of two or more periods of point cloud data of the non-fixed wing unmanned aerial vehicle airborne radar, changes of mine surface geomorphological height differences in different time periods are formed, a new mine mining land area and elevation change monitoring technology is provided, surface elevation changes such as a mine open mining pit, a slag disposing area and mining subsidence are grasped, and scientific basis is provided for mine geological environment control, land reclamation and development, use and planning.

The invention discloses a method for automatically extracting a newly added construction land change image spot of a high-resolution remote sensing image. The method comprises the following steps: inputting two high-resolution remote sensing images of a same area at different periods and performing geometrical fine calibration and relative radiation calibration; respectively calculating textural features of all wave bands of the images at two periods; performing difference value operation on the textural features and the spectral signature of the images by waveband, thereby obtaining a difference value image and cutting thresholds; logically combining two-value result images of all wave bands; performing morphological closed operation, hole filling and small-area image spot removing treatment on the two-value result images after being logically combined in turn, thereby obtaining a change image spot of land utilization; making zone marks on the change image spot of land utilization so as to generate an image spot object; calculating the textural features of each image spot object in a remote sensing image at a new period; and extracting the newly added construction land change image spot. According to the method provided by the invention, the problem of extracting the newly added construction land is mainly solved, and meanwhile, the capacity of detecting the interior change of the construction land is achieved.

The invention discloses an intelligent motorcade lane-changing method adopting a fairly mature single-vehicle lane-changing technology to carry out safety control, and follow-up vehicles of a motorcade safely change the lane after successful land-changing of the front vehicles. The lane-changing method is efficient and safe, original formation of the motorcade cannot be disorganized by other manned driving vehicles, and then communication problems between cars in the motorcade cannot be disturbed. The intelligent motorcade lane-changing method is simple, and reliability is high.

The invention relates to a land law enforcement dynamic patrol method and system based on 3S integrated technology, belonging to the field of land law enforcement supervision, comprising a satellite film verification tool, a mobile patrol terminal and a land law enforcement dynamic patrol management system. The satellite photograph verification tool adopts automatic extraction mechanism of changeplaques, assists in extracting the range of change plaques, examines the legitimacy of land use types of change, grasps the illegal land use location at the first time, and provides guidance for the investigation and punishment of illegal cases. The mobile patrol terminal connection server can send the land change patch data corresponding to the land change patch database matched with the accountnumber authority according to the registered account number information, and the land change patch data is provided with attribute information and spatial information. The land law enforcement dynamicpatrol management system is based on B/S terminal, which integrates the business system of reporting, issuing, adducing evidence, examining and approving, filing, data analysis and so on, and realizes the visual law enforcement process and the automation transfer mode of business processing by combining diagrams and charts.

The invention discloses a cultivated land change detection method based on depth learning, which is applied to cultivated land census task and has higher convenience and efficiency than manual on-the-spot investigation, at the same time, the remote sensing detection result has higher authenticity compared with the results reported by various levels of departments. Traditional remote sensing interpretation is mainly in the form of artificial visual, is high in human resources cost, but also cannot meet the growing amount of remote sensing data interpretation needs. The invention firstly accurately matches the remote sensing images of the same area taken at different times, then extracts the cultivated land area by adopting the full convolution network, then directly obtains the preliminarycultivated land change result by using the difference method, and finally obtains the final change detection result by adopting the morphological methods such as corrosion and expansion. The inventionalso discloses a method for extracting the cultivated land area from the remote sensing images. The invention adopts the method of depth learning semantic segmentation network to realize automatic extraction and change detection of cultivated land resources, which has higher detection accuracy than the method of the invention in the prior art.

The invention provides a method for quickly extracting suspected illegal land use information based on unmanned aerial vehicle (UAV) images. (2) Enhancement and transformation of unmanned aerial vehicle images; (3) Object-oriented land use information change detection method; (4) extracting new land change patches; (5) Extracting the information of suspected illegal land use. Advantages: based onspatial information technology, deepening and expanding geographical matching, data splicing, image enhancement change, a method for processing image data and extracting information of unmanned aerialvehicle includes detecting information change, combined with the spatial analysis model of GIS, this paper realizes the comparative analysis between multi-source and multi-temporal remote sensing data and between remote sensing image data and urban construction planning approval data, quickly obtains the suspected illegal land use situation, and provides technical services and decision-making basis for urban land resources monitoring and management.

The invention discloses a forestry resource collection method based on high-definition satellite remote sensing. The method comprises the following steps of: selecting a first remote sensing data source and a second remote sensing data source, performing data processing to obtain a first remote sensing image and a second remote sensing image; forest land information extraction and change information extraction are carried out on the first remote sensing image; sampling verification, a forest land investigation result database is formed; performing change information extraction on the first remote sensing image and the second remote sensing image respectively; the change information extracted from the two forms forest land change information; the database updating module is used for updating the database to form forest land change monitoring final data. In the method for classifying and extracting forest land information, R, G and B are set to represent the average values of the red channel, the green channel and the blue channel of the image respectively, R, G and B are used as base numbers, a one-to-one corresponding formula is set according to different pieces of forest land information to classify the forest land information for extraction, and forest land information classification can be rapidly and accurately completed for extraction.

Embodiments of the invention disclose a land utilization change analysis and prediction method and device. The method comprises the steps of obtaining land remote sensing image data of a plurality ofhistorical years; extracting land types in the land remote sensing image data of the historical years by utilizing a human-computer interaction interpretation method, and drawing a classification vector diagram; according to the classification vector diagram, calculating the land change amplitude, the dynamic attitude and the spatial change, further analyzing the dynamic change of the land in different periods, and concluding the land utilization space-time change characteristics and rules in historical years; selecting a plurality of driving factors to construct a Markov-CA prediction model;and according to the land utilization space-time change characteristics and rules of the historical years, utilizing a Markov-CA prediction model to obtain a land utilization space pattern of a futuretarget year. According to the land utilization change analysis and prediction method and device disclosed by the embodiment of the invention, the Markov-CA prediction model is constructed by introducing the driving factors for different land types, so that the precision of land utilization change analysis and prediction is improved.

The invention discloses a forest land change detection method based on a remote sensing image. The method comprises the steps of acquiring front and rear time phase remote sensing images of a to-be-detected area; calculating BAI indexes, NDWI indexes and NDVI indexes of the front time phase remote sensing image and the rear time phase remote sensing image pixel by pixel; setting a BAI index demarcation point of the water body area and the non-water body area as a first threshold value, setting an NDWI index demarcation point of the water body area and the non-water body area as a second threshold value, and setting an NDVI index demarcation point of the vegetation area and the non-vegetation area as a third threshold value; wherein the pixels of which the BAI index is smaller than a firstthreshold value, the NDWI index is smaller than a second threshold value and the NDVI index is larger than a third threshold value are forest land areas, and the other pixels are non-forest land areas. The forest land change is detected by comparing the BAI index, the NDWI index and the NDVI index with the first threshold value, the second threshold value and the third threshold value respectively, the response speed is high, the cost is low, the change type can be reflected, and the applicability and the detection precision are improved.

The invention discloses a forest land change detection method based on early-stage forest land vector data, and the method comprises the steps: 1, carrying out the multi-scale segmentation of a front-stage remote sensing image and a rear-stage remote sensing image based on the early-stage forest land vector data, and obtaining image spots corresponding to the front-stage remote sensing image and the rear-stage remote sensing image; Step 2, extracting multidimensional features of the two periods of image spots, and calculating the difference degree of the image spots by adopting a feature fusion method based on a sparse representation theory; Step 3, adaptively selecting a training sample, and determining a change threshold of the difference degree between the two stages of image spots by using a Bayesian threshold determination method based on a maximum expectation algorithm; And step 4, performing binary segmentation on the weighted difference image obtained in the step 2 by using thechange threshold obtained in the step 3 to obtain a forest land change detection result. According to the method, multi-scale segmentation can be carried out on the front and rear stages of remote sensing images by using early-stage forest land vector data, so that a forest land change detection result is obtained.

The invention discloses a database established based on land survey and a management system thereof, comprising: (1) data input; (2) Change analysis; (3) data checking; (4) data output; (5) Data statistics. The system can complete the query, warehousing and statistics of different types of data, through the process library to achieve the superposition of the status quo data and change data, so asto analyze the direction and changes of various types of land, the report will be output; through the history database, the wrong operation data can be recovered, and the previous data can be queriedand visited back. The dynamic analysis of the data in different periods in the land change investigation management system has a strong pertinence, flexible and convenient data change processing tools, management and maintenance of a number of thematic data, which is conducive to information sharing and data maintenance.

The invention provides a land utilization checking system. The land utilization checking system comprises a field work proof module, a data auditing module and a data summarizing module; the field proof module is used for field proof personnel to obtain field data of the pattern spots to be checked; the data auditing module is used for a professional inspector to inspect whether the utilization type of the land corresponding to the inspection pattern spot meets the requirement or not according to the field data, and the inspection result is stored; and the data summarizing module is used for summarizing and managing the checking results corresponding to all the pattern spots to be checked by professional checking personnel. Compared with a traditional mode that a large number of professional inspectors are directly dispatched to the field for inspection in a long distance, the method achieves the investigation of the land change on the premise of saving more manpower and material resources.

The invention discloses an ecological environment fragile area land monitoring method, system and device, and belongs to the field of combination of an image recognition technology and an environment monitoring technology. The invention aims to solve the problem of low monitoring work efficiency or low monitoring accuracy in the current land monitoring of the ecological environment fragile area. The method comprises the following steps: determining a monitoring node according to a monitoring task and performing image acquisition on a monitored area range; changing the monitoring area range image into a grey-scale map, and recording the grey-scale map as an image A; marking G and B channel images in the RGB channel of the monitoring area range image as an image G and an image B respectively; marking the image with the B channel removed in the RGB channel as an image RG; performing prediction by using the trained neural network model to obtain a prediction result of the image at the corresponding monitoring node time; and monitoring the land change of the ecological environment fragile area according to the change of each segmented area in the prediction result corresponding to the monitoring node time. The method, system and device are suitable for land monitoring in ecological environment fragile areas.

The invention discloses a remote sensing image forest land change detection method based on a sparse DBN model. The method comprises: step 1, segmenting a front-stage high-resolution remote sensing image and a rear-stage high-resolution remote sensing image; step 2, calculating vegetation coverage indexes of all image spots; step 3, adding sparse regular terms into the basic unit restricted Boltzmann machine of the deep belief network, and stacking the sparse restricted Boltzmann machine to form a sparse deep belief network; step 4, training a sparse deep belief network by using the sample obtained in the step 2 to obtain a sparse deep belief network model for forest land detection of the high-resolution remote sensing image; and step 5, automatically classifying all image spots by using the trained sparse depth confidence network. A sparse coding method is adopted on the basis of a human visual information system, sparse constraint is introduced into the DBN to obtain a sparse DBN model, and then high-resolution remote sensing image change detection is carried out on the basis of the sparse DBN model to obtain a forest land change detection result.

The invention provides a land utilization change proof verification system. The comprises a field work proof verification module, a data auditing module and a data summarizing module, the field work proof module is used for field proof personnel to obtain field data of the pattern spots to be checked; the data auditing module is used for a professional inspector to inspect whether the utilization type of the land corresponding to the inspection pattern spot meets the requirement or not according to the field data, and the inspection result is stored; and the data summarizing module is used for summarizing and managing the checking results corresponding to all the pattern spots to be checked by professional checking personnel. Compared with a traditional mode that a large number of professional inspectors are directly dispatched to the field for inspection in a long distance, the invention achieves the investigation of the land change on the premise of saving more manpower and material resources.

The invention relates to a quick soil cultivation stereo comprehensive planting and cultivating technology which is a novel agricultural planting and cultivating method being suitable for promoting on a large scale; the stereo optimization grouping of planting and cultivating leads an acre of land to become two acres of land for use in the same season, thus solving the problem of lack of lands to a certain extent; the method not only saves a large part of fertilizers, reduces the intensity of labor and solves the problems that the cultivation is not convenient due to small fields in mountain area, which is the same as that a plurality of small reservoirs can solve the problem of lacking of agricultural irrigating water sources even seriously; the method of the invention not only stores the discharge of stream, but also planting and cultivating the agriculture and has greater effect of enhancing the ecological balance. About ten thousand yuan is invested in an acre of land by one time, can be returned in full in one to two years and can be used for 30 to 50 years if no artificial damage exists, thus being a project of vital and lasting importance.

The invention discloses a multi-type urban green land classification method, solves the problems of low efficiency and low accuracy of obtaining urban green land space information in the prior art, and belongs to the technical field of urban green land change monitoring. The method comprises the following steps: acquiring vegetation phenology of a research area; acquiring remote sensing images ofa pre-growing season, a growing season and a non-growing season of the research area; calculating vegetation coverage by utilizing the growth season image, and performing segmenting to obtain a vegetation range; calculating the vegetation coverage by using the non-growing season image, and performing segmenting to obtain an evergreen forest range; calculating and obtaining a grayscale image by using the pre-growing season image, and performing segmenting to obtain a grassland range; performing spatial masking on the vegetation range by utilizing the evergreen forest range and the grassland range to obtain a deciduous forest range; acquiring a night light image, and performing segmenting to obtain a city range; and masking the evergreen forest range, the grassland range and the deciduous forest range by using the urban range to obtain various types of urban greenbelts including evergreen forests, deciduous forests and grassland. According to the invention, the efficiency and accuracy ofobtaining the urban green space information can be improved.

The invention discloses a surface environment change monitoring method and device, a readable storage medium and equipment, and belongs to the technical field of remote sensing. The method comprises the steps of: obtaining time sequence NDVI remote sensing image data and land utilization type data; according to the land utilization type data, obtaining an average NDVI time sequence curve of each land utilization type; calculating the similarity between each pixel on the NDVI annual time sequence image and each land utilization type; setting specific surface environment type transformation scenes in two years, and calculating the sum of the similarity of one class of the reference year and the similarity of the other class of the monitoring year; and carrying out threshold segmentation on a similarity sum result image, and extracting a region with a relatively large pixel value, so that a surface environment change region of a specific conversion type can be obtained. According to the method, the similarity is calculated for the specific land surface environment type, specific target features and change features are highlighted to the maximum extent, specific land change types are rapidly and accurately extracted in a targeted mode, and technical support is provided for ecological environment supervision.

The invention discloses a land change simulation method based on a delayed communication CA model, and the method comprises the following steps: 101, inputting land utilization data and a driving force into a trained neural network ANN model, and obtaining the adaptability probability of the land change type of each land unit in the land utilization data; step 102, performing iteration of the delayed communication CA model, stopping iteration when a preset condition is met, and outputting the land type of each land unit after iteration; cells of the delayed communication CA model are land units, and the states of the cells are land types of the land units; cells of the delayed communication CA model are subjected to state change independently, and each cell carries a historical state cache of a neighbor; in one round of iteration of the delayed communication CA model, a combined probability is obtained by combining an adaptability probability, an inertia coefficient, a neighborhood influence and a conversion cost based on a state change function, and then a cell change state after the current iteration is obtained in a roulette selection mode.

The invention provides a spatial association rule mining method and device, electronic equipment and a computer readable storage medium. The mining method comprises the following steps: processing land change information and shoreline change information to generate a plurality of combined grid units and shoreline change intensity; establishing a model operation decision table based on the plurality of combined grid units and the shoreline change intensity; and mining the model operation decision table to obtain a spatial association rule. The step for processing the land change information andthe shoreline change information to generate the plurality of combined grid units and the shoreline change intensity comprises the processes of carrying out fan-ring-shaped grid division on the landchange information to generate a plurality of sample grid units, and determining the land change intensity of each sample grid unit in the plurality of sample grid units.

The invention discloses a Beidou based urban land optimization system. The system comprises a data collection module, a data analysis module and a data simulation and prediction module, and the modules are connected to one another in the system. The data collection module collects urban land data in various collecting methods as satellite remote sensing, manual monitoring and historical data; the data analysis module carries out optimized analysis on the collected data while analyzing factors including a city model, city policies and city guidance; and the data simulation and prediction module further optimizes the processed data to obtain a prediction and simulation report of city land. The system considers space-time change information of urban land comprehensively, effectively solves problems in accurately describing, simulating and predicting change of urban land, and includes the implicit randomness, fuzziness and nondeterminacy in the land change process.