CN116189000B - Land parcel analysis method and apparatus - Google Patents
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Abstract
The application relates to a method, a device, a computer device, a storage medium and a computer program product for analyzing a land parcel, wherein the method comprises the steps of obtaining a target image; inputting the target image into a thatch cover extraction model to obtain thatch cover distribution information in the target image; dividing the target image according to a preset rule and thatch cover position information to obtain management land block information, wherein the management land block information comprises the position information of the management land block; matching the covering distribution information with the management land block information, and determining the covering information corresponding to the management land block according to a matching result. According to the land parcel analysis method, the thatch cover information obtained by using the thatch cover extraction model is matched with the management land parcel information, so that the thatch cover information corresponding to the management land parcel is determined, and the management land parcel thatch cover information is rapidly and accurately extracted.
Description
Technical Field
The application relates to the technical field of geographic information systems, environmental protection and crossing of plastic pollution, in particular to a land parcel analysis method and a land parcel analysis device.
Background
The dust sources are mainly three types, namely construction dust, road dust and bare land dust. In order to reduce construction and dust emission in bare land, a main mode is to cover the field. However, some construction areas are left under construction, even for many years, such that bare land or construction areas are covered with tarpaulins for years.
In order to accelerate the pushing of the green space structure, the green land block is pushed and removed in order to implement greening, the urban and rural human living environment is practically improved, the goal of 'looking at the ground with green' is realized, the net uncovering and green-seeing work is pushed, and the base number touch and space analysis work is required to be carried out on the net uncovering and green-seeing potential land block in the Beijing city range.
However, the tarpaulin is in a state with random shapes and scattered distribution, the manual interpretation difficulty is high, the existing manual extraction workflow based on remote sensing is time-consuming and labor-consuming, and the accuracy of human eye extraction is low.
Disclosure of Invention
Based on the above, it is necessary to provide a land parcel analysis method and apparatus for solving the problem of low accuracy of manually extracting the thatch cover in the prior art.
In a first aspect, the present application provides a method of plot analysis. The land parcel analysis method comprises the following steps:
acquiring a target image;
inputting the target image into a thatch cover extraction model to obtain thatch cover distribution information in the target image;
dividing the target image according to a preset rule and the thatch cover distribution information to obtain management land block information, wherein the management land block information comprises position information of a management land block;
and matching the thatch cover distribution information with the management land block information, and determining the thatch cover information corresponding to the management land block according to the matching result.
In one embodiment, the thatch cover distribution information includes a plurality of thatch cover position information, and the management land includes a plurality of management lands;
the matching of the thatch cover distribution information and the management land block information and the determination of the thatch cover information corresponding to the management land block according to the matching result comprise the following steps:
and regarding each management land, taking the thatch cover position information in the area of the management land as the thatch cover information corresponding to the management land.
In one embodiment, the method further comprises:
coding each management land block, and determining an identification code of each management land block;
determining the covering attribute corresponding to each management land according to the covering information corresponding to each management land;
determining the location information of each management land block and the regional attribute corresponding to each management land block;
and determining a management land parcel information table according to the identification code of each management land parcel, the thatch cover attribute corresponding to each management land parcel and the region attribute corresponding to each management land parcel.
In one embodiment, the thatch attribute includes a thatch ratio;
the determining the covering attribute corresponding to each management land according to the covering information corresponding to each management land comprises the following steps:
Determining the area of each management land according to the management land information of each management land;
determining the covering area corresponding to each management land according to the covering information corresponding to each management land;
and determining the covering proportion of the management land according to the area of the management land and the covering area corresponding to the management land.
In one embodiment, the method further comprises:
acquiring a sample information set, wherein the sample information set comprises a sample image and tarpaulin real distribution information of the sample image;
inputting the sample image into an initial prediction model to obtain thatch cover distribution prediction information, wherein the initial model comprises a classical basic network structure and a segmentation network in deep learning;
determining the accuracy, recall rate and learning rate of the initial prediction model according to the thatch cover real distribution information and the thatch cover distribution prediction information;
training the initial prediction model according to the accuracy rate, the recall rate and the learning rate to obtain the thatch cover extraction model; the thatch cover extraction model is used for extracting the thatch cover distribution information.
In one embodiment, the sample image includes an aerial image and a satellite image.
In a second aspect, the present application further provides a plot analysis device, which adopts the plot analysis method in the first aspect. The plot analysis device includes:
the acquisition module is used for acquiring a target image;
the image covering information acquisition module is used for inputting the target image into a covering extraction model to acquire covering distribution information in the target image;
the management land block distribution information determining module is used for dividing the target image according to a preset rule and the thatch cover distribution information to obtain management land block information, wherein the management land block information comprises position information of a management land block;
the management land block tarpaulin information determining module is used for matching the tarpaulin distribution information with the management land block information and determining the tarpaulin information corresponding to the management land block according to the matching result.
In one embodiment, the thatch cover distribution information includes a plurality of thatch cover position information, and the management land includes a plurality of management lands; the thatch cover information determining module of the management land is further used for:
and regarding each management land, taking the thatch cover position information in the area of the management land as the thatch cover information corresponding to the management land.
In one embodiment, the plot analysis device further comprises:
the coding module is used for coding each management land block and determining the identification code of each management land block;
the thatch cover attribute determining module is used for determining the thatch cover attribute corresponding to each management land block according to the thatch cover information corresponding to each management land block;
the regional attribute determining module is used for determining the regional attribute corresponding to each management land block according to the position information of each management land block;
and the block information table determining module is used for determining a management block information table according to the identification code of each management block, the covering attribute corresponding to each management block and the region attribute corresponding to each management block.
In one embodiment, the thatch attribute includes a thatch ratio; the thatch cover attribute determination module is further configured to:
determining the area of each management land according to the management land information of each management land;
determining the covering area corresponding to each management land according to the covering information corresponding to each management land;
and determining the covering proportion of the management land according to the area of the management land and the covering area corresponding to the management land.
In one embodiment, the plot analysis device further comprises:
the system comprises a sample acquisition module, a sample analysis module and a sample analysis module, wherein the sample acquisition module is used for acquiring a sample information set, and the sample information set comprises a sample image and tarpaulin real distribution information of the sample image;
the input module is used for inputting the sample image into an initial prediction model to obtain thatch distribution prediction information, wherein the initial model comprises a classical basic network structure and a segmentation network in deep learning;
the determining module is used for determining the accuracy, recall rate and learning rate of the initial prediction model according to the thatch cover real distribution information and the thatch cover distribution prediction information;
the training module is used for training the initial prediction model according to the accuracy rate, the recall rate and the learning rate to obtain the thatch cover extraction model; the thatch cover extraction model is used for extracting the thatch cover distribution information.
In one embodiment, the sample image includes an aerial image and a satellite image.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of the method of the first aspect described above when the processor executes the computer program.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the first aspect described above.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, carries out the steps of the first aspect described above.
In the above-described land parcel analysis method, apparatus, computer device, storage medium, and computer program product, the land parcel analysis method includes obtaining a target image; inputting the target image into a thatch cover extraction model to obtain thatch cover distribution information in the target image; dividing the target image according to a preset rule and thatch cover position information to obtain management land block information, wherein the management land block information comprises position information of a management land block; and matching the thatch cover distribution information with the management land block information, and determining the thatch cover information corresponding to the management land block according to the matching result. According to the land parcel analysis method, the thatch cover information obtained by using the thatch cover extraction model is matched with the management land parcel information, so that the thatch cover information corresponding to the management land parcel is determined, and the management land parcel thatch cover information is rapidly and accurately extracted.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments or the conventional techniques of the present application, the drawings required for the descriptions of the embodiments or the conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a flow chart of a method of block analysis in one embodiment;
FIG. 2 is a flow chart of a method of analyzing a plot of land according to another embodiment;
FIG. 3 is a block diagram of an apparatus in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be further described in detail below with reference to examples, which are provided to illustrate the objects, technical solutions and advantages of the present application. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The dust sources are mainly three types, namely construction dust, road dust and bare land dust. In order to reduce construction and dust emission in bare land, a main mode is to cover the field. However, some construction areas are left under construction, even for many years, such that bare land or construction areas are covered with tarpaulins for years. In order to accelerate the pushing of the green space structure, the green land is pushed, removed and vacated in order to implement greening, the urban and rural living environment is practically improved, the goal of 'looking at the ground with green' is realized, the work of 'tearing off the net and seeing the green' is pushed, an implementation method of tearing off the net and seeing the green is required to be formed, the working mode is changed by means of informatization, the working efficiency is improved, and the deployment, implementation and supervision of the work of tearing off the net and seeing the green are practically and effectively pushed.
Based on this, as shown in fig. 1, the present application provides a plot analysis method, including:
step S101, obtaining a target image;
specifically, the target image may be a satellite image, and the terminal may acquire a satellite image from the satellite photographing device; the target image can also be an aerial image, and the terminal can acquire aerial images from aerial shooting equipment.
Further, the target image may be a satellite image or an aerial image including a thatch image, and the target image may be a satellite image or an aerial image including a management land block.
Step S102, inputting a target image into a covering extraction model to obtain covering distribution information in the target image;
the tarpaulin extraction model is a preset training model and is used for extracting tarpaulin information in a target image. The thatch cover distribution information comprises vector information corresponding to each thatch cover in the target image. Specifically, the terminal may input the obtained target image into a thatch cover extraction model, and may obtain thatch cover distribution information of the target image through the thatch cover extraction model.
Step S103, dividing the target image according to a preset rule and thatch cover distribution information to obtain management land block information, wherein the management land block information comprises position information of a management land block;
The preset rule may include that the covering distribution information output by the covering extraction model is used as an index, and the management land parcels are drawn in the target image according to a drawing principle. The drawing principle of the management land parcels comprises drawing the management land parcels according to the land parcels boundary if the land parcels boundary is obvious; and if the land block boundary is not obvious, drawing and managing the land block region according to the cover boundary (the cover distribution information output by the cover extraction model comprises vector information of each cover in the target image, and the vector information corresponds to the cover boundary information). The sketching principle of the management land parcels also comprises that if avoidable land parcels such as large buildings exist in the land parcels (the terminal can directly judge whether avoidable land parcels position information exists in the target image according to the target image), the large land parcels need to be avoided when the management land parcels are sketched. The drawing principle of the management land parcels further comprises drawing the management land parcels in the target image by referring to the village and town boundary lines, specifically, the target image acquired by the terminal can have geographic position information such as longitude and latitude, and the terminal stores known road information including the longitude and latitude of the village and town boundary lines, so that the terminal judges the road information contained in the target image according to the known road information and the geographic position information of the target image, and divides the management land parcels according to the contained road information such as the village and town boundary lines. Further, if the information included in the target image is a small road or an unknown soil road, the land blocks adjacent to the small road or the unknown soil road may be combined and sketched. The drawing principle of the management land block also comprises that if a whole bare land exists in the target image and a scattered thatch cover exists in the bare land, the whole bare land area is directly drawn as the management land block; and only one scattered straw cover exists in the bare land, and the scattered straw cover area is marked as a management land.
Furthermore, the target image is divided according to a preset rule and the thatch cover distribution information, a plurality of management land block area information can be drawn in the target image, the management land block area information can comprise vector information corresponding to the area of each management land block in the target image, besides, the acquired management land block information also comprises position information of each management land block, and the position information is geographic position information. Because the target image may have geographic location information such as latitude and longitude information, the terminal also stores geographic location information including but not limited to city, county and county geographic location information, street geographic location information and community geographic location information, after the terminal draws the management block in the target image, the terminal can determine the location information of each management block, namely, the geographic location information, according to the geographic location information of the target image, the stored geographic location information and the drawn management block area information.
Step S104, matching the thatch cover distribution information with the management land block information, and determining the thatch cover information corresponding to the management land block according to a matching result.
Specifically, the thatch vector information in the thatch distribution information and the management land block vector information in the management land block information are matched, and the thatch information contained in the management land block is determined.
According to the land parcel analysis method provided by the application, the thatch cover information obtained by using the thatch cover extraction model is matched with the management land parcel information, so that the thatch cover information corresponding to the management land parcel is determined, and the quick and accurate extraction of the management land parcel thatch cover information is realized. In addition, the preset rule for managing the land block sketching is clear, the problems of wrong judgment of attributes, missing of pattern spots and inaccurate boundaries are solved, the accuracy of managing the land block information in the land block can be greatly improved through the land block distribution information of the land block green net automatically extracted by the land block extraction model and the land block information determined according to the preset rule and the land block distribution information, and the problem of low accuracy of manual rough sketching of the land block can be solved.
In one embodiment of the present application, the thatch cover distribution information includes a plurality of thatch cover position information, and the management land includes a plurality of management lands; step S104, matching the covering distribution information with the management land block information, and determining the covering information corresponding to the management land block according to the matching result, including:
and regarding each management land, taking the covering position information in the area of the management land as the covering information corresponding to the management land.
Specifically, there may be multiple covers and multiple management plots in the target image. The tarpaulin distribution information comprises the position information of each tarpaulin in the target image, namely the vector information of each tarpaulin. The management block information includes vector information of each management block in the target image. Matching the thatch cover distribution information with the management land block information, specifically, aiming at each management land block, acquiring vectors corresponding to each management land block, performing spatial superposition on all the thatch cover vectors in the target image and the management land block vectors, and determining the thatch cover vectors in the management land block vector range, thereby determining the thatch cover information in the management land block area.
According to the land parcel analysis method provided by the application, the management land parcel information and the thatch cover distribution information are required to be matched, so that the thatch cover information in each management land parcel is determined, the accuracy of extracting the thatch cover information of the management land parcel is greatly improved, and meanwhile, the efficiency of analyzing the land parcel thatch cover information is also improved.
In one embodiment of the application, the method further comprises:
encoding each management land block and determining the identification code of each management land block;
determining the covering attribute corresponding to each management land according to the covering information corresponding to each management land;
determining the location information of each management land block and the regional attribute corresponding to each management land block;
and determining a management land block information table according to the identification code of each management land block, the thatch cover attribute corresponding to each management land block and the region attribute corresponding to each management land block.
Firstly, the terminal divides the target image according to a preset rule and thatch cover distribution information, so that information of a plurality of management plots can be obtained, and then the terminal can encode each management plot, at the moment, the unique identification code corresponding to each management plot can be serial number information.
Secondly, the terminal determines the covering information corresponding to the management plots by matching the covering distribution information with the management plot information, so that the vector information of each management plot and the vector information of the covering within the range of each management plot can be determined, and the covering attribute of each management plot can be determined according to the two vector information.
In addition, since the target image may have geographic location information such as latitude and longitude information, the terminal also stores geographic location information including, but not limited to, city, county, street, and community geographic location information, after the terminal draws a management block in the target image, the terminal can determine the location information of each management block, that is, the geographic location information, according to the geographic location information of the target image, the stored geographic location information, and the drawn management block area information. The terminal may determine, according to the location information of each management block, a region attribute corresponding to each management block, where the region attribute may include a city and county name, a street name, a community name, and the like to which each management block belongs.
Further, the terminal stores known regional planning information including preset green-view type information (i.e., a green planting type planted in the management block area after the cover of the management block is uncovered) and preset green-view node information (i.e., a time point of green planting planted in the management block area after the cover of the management block is uncovered). Therefore, the terminal can match the regional attribute of the management land parcels with the known regional planning information to determine the planning attribute of each management land parcels in the target image, wherein the planning attribute is green-seen type information and green-seen node information corresponding to each management land parcels.
In summary, in the method for analyzing land parcels provided by the application, the terminal can establish the management land parcels information table according to the identification code, the thatch cover attribute, the regional attribute and the planning attribute of each management land parcels in the obtained target image, and the terminal can not only determine the information of each management land parcels, but also determine the thatch cover information in each management land parcels, thereby being beneficial to improving the accuracy of land parcels analysis, and being convenient for tracing the information of the management land parcels and the thatch cover subsequently.
In one embodiment of the application, the thatch attribute includes a thatch ratio;
according to the covering information corresponding to each management land, determining the covering attribute corresponding to each management land comprises the following steps:
determining the area of each management land according to the management land information of each management land;
determining the covering area corresponding to the management land according to the covering information corresponding to each management land;
and determining the covering proportion of the management land according to the area of the management land and the covering area corresponding to the management land.
Specifically, the management block information of each management block includes vector information of each management block, and the terminal can determine the area of each management block according to the vector information of each management block; the covering information corresponding to each management land comprises covering vector information in the management land vector range, and the terminal can determine the covering area in each management land area according to the covering vector information in the management land vector range. The terminal can also determine the covering proportion of the management land according to the area of the management land and the covering area corresponding to the management land by the following formula.
The calculation formula is as follows:
p is the proportion of thatch cover, A N For the covering area in the management area determined according to the covering vector information in the management area vector range, A M To manage the area of the land.
Furthermore, the terminal can judge the current situation type in the thatch cover attribute of each management land according to the thatch cover information corresponding to each management land, wherein the current situation type comprises a construction area, a bare land, a residential area, a garbage stack, a green belt, vegetation cover and a hardened ground surface. The terminal can also judge the breaking degree in the covering attribute of the management land according to the covering information corresponding to each management land, wherein the breaking degree comprises completeness, breaking and decay. The terminal can also trace back the earliest time of the occurrence of the thatch cover in each management land according to the position information of each management land by utilizing satellite images so as to determine the thatch cover duration. According to the land parcel analysis method provided by the application, each attribute of the thatch cover in the management land parcel is determined according to the thatch cover information corresponding to each management land parcel, so that the accuracy of land parcel analysis is improved, and the follow-up tracing work is facilitated.
Based on this, as shown in fig. 2, in one embodiment of the present application, the method further includes:
Step S201, a sample information set is obtained, wherein the sample information set comprises a sample image and tarpaulin real distribution information of the sample image;
specifically, as the boundary of the cover of the green net is folded and broken, a sample information set is manufactured by adopting a manual visual interpretation method. Firstly, sample collection is carried out in a manual sketching mode, and the sample collection comprises the following principles: A. collecting completely; B. the marked mark is visible, so that the error mark is avoided; C. the diversity and the integrity of the sample are ensured; D. the samples need to be uniformly distributed in the measuring area; E. the error is as low as 1 pixel, and the purity of the sample pattern spots is as high as possible (the required proportion is more than 95 percent); secondly, to enrich the sample types, sample extraction is performed on satellite images or aerial images over multiple phases.
Step S202, inputting a sample image into an initial prediction model to obtain thatch cover distribution prediction information, wherein the initial model comprises a classical basic network structure and a segmentation network in deep learning;
step S203, determining the accuracy, recall rate and learning rate of the initial prediction model according to the thatch cover real distribution information and the thatch cover distribution prediction information;
specifically, a classical basic network structure ResNet-34 in deep learning is used as a preconfigured neural network for training a new model, and based on the preconfigured neural network, the multi-scale characteristics of the image characteristics are identified and fused based on the deep learning segmentation network U-net. And when the method is used for first training, an initial prediction model with default parameters is adopted for training a pixel segmentation model extracted from a thatch green network, thatch distribution prediction information is obtained, and the accuracy, recall rate and learning rate of the initial prediction model are determined according to the thatch real distribution information and the thatch distribution prediction information.
Step S204, training an initial prediction model according to the accuracy, recall and learning rate to obtain a thatch cover extraction model; the thatch cover extraction model is used for extracting thatch cover distribution information.
Specifically, according to the model accuracy, recall rate, learning rate curve convergence condition and the like as standards, the parameters of the initial prediction model are adjusted to carry out iterative training until the learning curvature converges and the model accuracy and recall rate reach more than 95%, and then the model training can be completed. And interpreting the target image based on the trained thatch cover extraction model to obtain a classification grid, converting the classification grid into a vector format, and fusing the vector format to finally obtain thatch cover distribution information in a thatch cover green network.
In one embodiment of the application, the sample image includes an aerial image and a satellite image.
Specifically, the sample information set includes real distribution information of the aerial image and the thatch cover of the aerial image, and real distribution information of the satellite image and the thatch cover of the satellite image. When training a model according to a sample information set, the real distribution information of the cover of the aerial image and the real distribution information of the cover of the satellite image and the satellite image need to be combined at the same time, for example: the training process of the thatch cover extraction model includes, but is not limited to, inputting sample information of the aerial image into the initial prediction model for the first time to obtain the initial prediction model, and inputting sample information of the satellite image into the initial prediction model to obtain the final thatch cover extraction model.
In the land parcel analysis method provided by the application, the aerial image and the satellite image are required to be combined in the training process of the thatch cover extraction model, so that the thatch cover extraction model is not only suitable for analyzing the target image of the aerial image, but also suitable for analyzing the target image of the satellite image, the application range of the land parcel analysis method is enlarged, and the accuracy of the land parcel analysis method can be improved. In the training process of the thatch cover extraction model in the plot analysis method provided by the application, an operation mode of combining the aerial image and the satellite image is provided, and the operation mode is mutually complemented in terms of time resolution and spatial resolution.
In one embodiment of the application, the terminal can monitor the management land by remote sensing monitoring according to the management land information table.
Specifically, in the monitoring process, the management plots are monitored one by one according to the identification codes in the management plot information table. The management land block can be shot according to the sequence of the management land block information table by utilizing an aerial or satellite mode to obtain management land block monitoring images, the management land block monitoring images are input into the thatch cover extraction model to obtain thatch cover distribution information in the management land block monitoring images, further, new thatch cover attributes are determined according to the thatch cover distribution information in the management land block monitoring images, and the thatch cover attributes corresponding to the management land block are updated to be new thatch cover attributes.
In one embodiment of the present application, the terminal may check the management block according to the management block information table.
Specifically, the management plot information table includes planning attribute of each management plot, including preset green-view type information and preset green-view node information. And the terminal determines the management land block corresponding to each area and needing to be uncovered to be seen green (the cover of the management land block is uncovered and green plants planted in the cover area) according to the regional attribute and the planning attribute in the management land block information table. The terminal needs to acquire the actual feedback information of each zone, wherein the actual feedback information comprises the management plots which are not subjected to the network uncovering green and the management plots which are subjected to the network uncovering green. The verification is manually performed on site according to the feedback information of each area, verification passing information is input to the terminal if the verification passes on site, and verification failure information is input if the verification fails on site.
Further, when the terminal acquires the management block with the green-colored screen and the verification passing information at the same time, it is necessary to determine whether the information of the management block is stored in the management block information table, and if the information of the management block is not stored in the management block information table, it is necessary to store the management block information in the management block information table according to the management block with the green-colored screen in the actual feedback information. When the terminal acquires the management land block with the green-colored network being uncovered and verification failure information at the same time, whether the information of the management land block is stored in the management land block information table needs to be clarified, and if the information of the management land block is stored in the management land block information table, the information of the management land block in the management land block information table needs to be deleted. After the steps, the management plots stored in the management plot information table are all management plots which are subjected to the network uncovering and pass verification, and the terminal can also use the management plot information table at the moment as a local annual task account, so that the follow-up tracing of the network uncovering work and the accuracy of evaluating the network uncovering work are improved. The terminal can also establish a sub-management block information table according to the management block information which is not subjected to the network uncovering green management block and/or verification failure, and take the sub-management block information table as a next-year standing book so as to provide reference information for the subsequent network uncovering green work.
In one embodiment of the present application, the terminal may evaluate the thatch cover information according to the management land information table.
Specifically, the terminal can determine the city, district, street and community corresponding to each management block according to the regional attribute in the management block information table, and further can evaluate the thatch cover information from different dimensions of the city, district, street and community. The evaluation index may include a management land parcel number, a management land parcel area, a thatch cover area, and a thatch cover density. For example, when evaluating the thatch information in the city as the dimension, the number of management plots corresponds to the number of management plots in the whole city, the area of the management plots corresponds to the sum of the areas of the management plots in the whole city, the thatch area corresponds to the sum of the thatch areas in the management plots in the whole city, and the thatch density corresponds to the proportional relationship between the thatch area and the area of the management plots.
Based on the evaluation index, the terminal can evaluate the increase and decrease change of the quantity of the management plots, the increase and decrease change of the area of the management plots and the increase and decrease change of the area of the covering from different dimensionalities of the city, the district, the street and the community. The method is favorable for accurately evaluating the thatch cover information from different dimensions, is also convenient for subsequent traceability work, and is also favorable for guiding the development of later network uncovering and green finding work according to the evaluation index.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a plot analysis device for realizing the plot analysis method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitations in the embodiments of one or more plot analysis devices provided below may be referred to above as limitations of the plot analysis method, and will not be described herein.
Based on this, as shown in fig. 3, the present application further provides a plot analysis device 300, which includes an acquisition module 301, an image thatch cover information acquisition module 302, a management plot distribution information determination module 303, and a thatch cover information determination module 304 for management plots.
The acquisition module 301 is configured to acquire a target image;
the image covering information obtaining module 302 is configured to input a target image into a covering extraction model to obtain covering distribution information in the target image;
the management land parcel distribution information determining module 303 is configured to divide the target image according to a preset rule and thatch cover position information, and obtain management land parcel information, where the management land parcel information includes position information of a management land parcel;
the thatch cover information determining module 304 of the management land is configured to match the thatch cover distribution information with the management land information, and determine thatch cover information corresponding to the management land according to a matching result.
In one embodiment of the present application, the thatch cover distribution information includes a plurality of thatch cover position information, and the management land includes a plurality of management lands; the thatch information determining module 304 for managing land parcels is further configured to:
and regarding each management land, taking the covering position information in the area of the management land as the covering information corresponding to the management land.
In one embodiment of the present application, the plot analysis apparatus further includes:
the coding module is used for coding each management plot and determining the identification code of each management plot;
the covering attribute determining module is used for determining the covering attribute corresponding to each management land according to the covering information corresponding to each management land;
the regional attribute determining module is used for determining the regional attribute corresponding to each management block according to the position information of each management block;
the block information table determining module is used for determining a management block information table according to the identification code of each management block, the covering attribute corresponding to each management block and the region attribute corresponding to each management block.
In one embodiment of the application, the thatch attribute includes a thatch ratio; the thatch attribute determination module is further configured to:
determining the area of each management land according to the management land information of each management land;
determining the covering area corresponding to the management land according to the covering information corresponding to each management land;
and determining the covering proportion of the management land according to the area of the management land and the covering area corresponding to the management land.
In one embodiment of the present application, the plot analysis apparatus further includes:
The sample acquisition module is used for acquiring a sample information set, wherein the sample information set comprises a sample image and tarpaulin real distribution information of the sample image;
the input module is used for inputting the sample image into an initial prediction model to obtain thatch cover distribution prediction information, and the initial model comprises a classical basic network structure and a segmentation network in deep learning;
the determining module is used for determining the accuracy, recall rate and learning rate of the initial prediction model according to the thatch cover real distribution information and the thatch cover distribution prediction information;
the training module is used for training the initial prediction model according to the accuracy rate, the recall rate and the learning rate to obtain a thatch cover extraction model; the thatch cover extraction model is used for extracting thatch cover distribution information.
In one embodiment of the application, the sample image includes an aerial image and a satellite image.
The individual modules in the above-described block analysis device may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment of the present application, a computer device, which may be a terminal, is provided, and an internal structure thereof may be as shown in fig. 4. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement an automatic pay-off method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment of the present application, a computer device is provided. The computer device comprises a memory storing a computer program and a processor which, when executing the computer program, can carry out the steps of the method for analyzing a plot.
In one embodiment of the present application, a computer-readable storage medium is provided. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described plot analysis method.
In one embodiment of the present application, a computer program product is provided. The computer program product comprises a computer program which, when executed by a processor, implements the steps of the plot analysis method.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the patent. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A method of plot analysis, comprising:
acquiring a target image;
inputting the target image into a thatch cover extraction model to obtain thatch cover distribution information in the target image;
dividing the target image according to a preset rule and the thatch cover distribution information to obtain management land block information, wherein the management land block information comprises position information of a management land block;
Matching the thatch cover distribution information with the management land block information, and determining the thatch cover information corresponding to the management land block according to a matching result;
the dividing the target image according to a preset rule and the thatch cover distribution information to obtain management land information comprises the following steps:
if the land block boundary is obvious, the land block area is managed according to the land block boundary drawing;
if the land block boundary is not obvious, a land block area is marked and managed according to a cover boundary, wherein the cover distribution information comprises vector information of each cover in the target image, and the vector information corresponds to the cover boundary information;
the method further comprises the steps of:
matching the regional attribute of the management land parcels with regional planning information according to the regional attribute of the management land parcels, and determining the planning attribute of each management land parcels; the planning attribute is green-seen type information and green-seen node information corresponding to each management land block; the green-finding type information is a green planting type planted in the management land area after the cover of the management land is uncovered; the green-view node information is the time point of green planting planted in the management land area after the cover of the management land is uncovered.
2. The plot analysis method of claim 1, wherein the thatch distribution information includes a plurality of thatch position information, and the management plot includes a plurality of management plots;
the matching of the thatch cover distribution information and the management land block information and the determination of the thatch cover information corresponding to the management land block according to the matching result comprise the following steps:
and regarding each management land, taking the thatch cover position information in the area of the management land as the thatch cover information corresponding to the management land.
3. The plot analysis method of claim 1, wherein the method further comprises:
coding each management land block, and determining an identification code of each management land block;
determining the covering attribute corresponding to each management land according to the covering information corresponding to each management land;
determining regional attributes corresponding to each management land parcel based on the position information of each management land parcel;
and determining a management land parcel information table according to the identification code of each management land parcel, the thatch cover attribute corresponding to each management land parcel and the region attribute corresponding to each management land parcel.
4. The plot analysis method of claim 3, wherein the thatch attribute comprises a thatch ratio;
the determining the covering attribute corresponding to each management land according to the covering information corresponding to each management land comprises the following steps:
determining the area of each management land according to the management land information of each management land;
determining the covering area corresponding to each management land according to the covering information corresponding to each management land;
and determining the covering proportion of the management land according to the area of the management land and the covering area corresponding to the management land.
5. The plot analysis method of claim 1, wherein the method further comprises:
acquiring a sample information set, wherein the sample information set comprises a sample image and tarpaulin real distribution information of the sample image;
inputting the sample image into an initial prediction model to obtain thatch cover distribution prediction information, wherein the initial prediction model comprises a classical basic network structure and a segmentation network in deep learning;
determining the accuracy, recall rate and learning rate of the initial prediction model according to the thatch cover real distribution information and the thatch cover distribution prediction information;
Training the initial prediction model according to the accuracy rate, the recall rate and the learning rate to obtain the thatch cover extraction model; the thatch cover extraction model is used for extracting the thatch cover distribution information.
6. The plot analysis method of claim 5, wherein the sample image comprises an aerial image and a satellite image.
7. A plot analysis apparatus, the apparatus comprising:
the acquisition module is used for acquiring a target image;
the image covering information acquisition module is used for inputting the target image into a covering extraction model to acquire covering distribution information in the target image;
the management land block distribution information determining module is used for dividing the target image according to a preset rule and the thatch cover distribution information to obtain management land block information, wherein the management land block information comprises position information of a management land block;
the management land block tarpaulin information determining module is used for matching the tarpaulin distribution information with the management land block information and determining the corresponding tarpaulin information of the management land block according to a matching result;
the management land parcel distribution information determining module is used for drawing a management land parcel area according to the land parcel boundary if the land parcel boundary is obvious;
If the land block boundary is not obvious, a land block area is marked and managed according to a cover boundary, wherein the cover distribution information comprises vector information of each cover in the target image, and the vector information corresponds to the cover boundary information;
the apparatus further comprises:
the matching module is used for matching the regional attribute of the management land parcels with regional planning information according to the regional attribute of the management land parcels, and determining the planning attribute of each management land parcels; the planning attribute is green-seen type information and green-seen node information corresponding to each management land block; the green-finding type information is a green planting type planted in the management land area after the cover of the management land is uncovered; the green-view node information is the time point of green planting planted in the management land area after the cover of the management land is uncovered.
8. The apparatus of claim 7, wherein the thatch distribution information includes a plurality of thatch position information and the management land includes a plurality of management lands;
the thatch cover information determining module of the management land parcels is further used for taking the thatch cover position information in the area of the management land parcels as the thatch cover information corresponding to the management land parcels for each management land parcels.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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