Remote sensing monitoring information extraction data checking method and device, equipment and medium

Abstract

The application provides a remote sensing monitoring information extraction data checking method, device, equipment and medium. The method comprises the following steps: using ArcGIS to identify the original land type patch in the land type patch layer on the patch initial extraction result layer and generating a corresponding land type name field; performing logical field checking on the land type name field to determine a corresponding monitoring type field; using ArcGIS to extract the result requirement field in the patch initial extraction result layer; using ArcGIS to fuse the patches corresponding to the result requirement field and the monitoring type field with the same attribute and split the fused patches; using ArcGIS to perform topological checking on the patches; calculating the patch area and deleting the patches with small areas; numbering the patches and determining the attribute of the result requirement field; and outputting the checking result of the remote sensing monitoring information extraction data. The method improves the accuracy of remote sensing monitoring information extraction and avoids information omission and errors caused by manual checking.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geographic information, and in particular to a remote sensing monitoring information extraction data checking method, device, equipment and medium. BACKGROUND

[0002] The existing remote sensing monitoring information extraction result checking work mainly includes two parts of graphic checking and attribute checking. The checking method is generally a man-machine interaction method. In the checking process, according to the requirements of the data results on the extracted information, the graphic checking mainly performs full coverage checking by superimposing the extracted remote sensing monitoring results, the latest remote sensing image, the last year's land change survey results and the last year's land survey change image, checks the drawing accuracy of the plot boundary, the missing of the image and the database mismatched plot, and the plot topology error. The attribute checking mainly checks the data integrity, standardization and logical consistency of the attribute table field by field according to the requirements of the results.

[0003] The existing man-machine interaction checking method cannot avoid the deviation of the plot change cognition caused by the subjective factors such as the experience and carefulness of the operator, and the content redundancy, non-standard filling and logical error in the checking of the attribute integrity, standardization and logical consistency in the attribute checking process, so that the result quality cannot be guaranteed. SUMMARY

[0004] Therefore, the purpose of the present application is to overcome the deficiencies in the prior art, and to provide a remote sensing monitoring information extraction data checking method, device, equipment and medium, which aims to solve the problems of cognitive deviation and checking errors caused by subjective factors in the existing man-machine interaction checking method.

[0005] The present application provides the following technical solutions:

[0006] In a first aspect, the present application provides a remote sensing monitoring information extraction data checking method, which comprises:

[0007] Importing the remote sensing monitoring information extraction data into an initial data layer, wherein the remote sensing monitoring information extraction data includes a plot initial extraction result layer and a land class plot layer;

[0008] Using the identification function module of ArcGIS to identify the original land class plot in the land class plot layer on the plot initial extraction result layer, and generating a land class name field corresponding to each plot;

[0009] Performing logical field checking on the land class name field to determine the monitoring type field corresponding to each plot;

[0010] extracting, by using an extraction tool of ArcGIS, a result required field in the initial extraction result layer of the polygon;

[0011] fusing, by using a fusion tool of ArcGIS, polygons corresponding to the result required field and the monitoring type field with the same attribute, and splitting the fused polygon by using a multi-component splitting tool;

[0012] performing topological inspection on the split polygon by using a topological tool of ArcGIS;

[0013] calculating the area of the polygon and deleting the polygon with an area less than or equal to a preset area threshold;

[0014] numbering the polygon according to a preset mode and determining a monitoring polygon number field;

[0015] determining the attribute of the result required field;

[0016] outputting the checking result of the remote sensing monitoring information extraction data of the polygon.

[0017] Further, the remote sensing monitoring information extraction data further includes a bulldozing area layer and a photovoltaic panel layer, and before the logical field inspection on the land name field and the determination of the monitoring type field corresponding to each polygon, the method further includes:

[0018] checking, by using an identification function module of ArcGIS, whether the polygon of the first preset polygon type overlaps the bulldozing area layer;

[0019] if there is overlap, deleting the polygon of the first preset polygon type;

[0020] checking, by using an identification function module of ArcGIS, whether the polygon of the second preset polygon type overlaps the photovoltaic panel layer;

[0021] if there is overlap, deleting the polygon of the second preset polygon type.

[0022] Further, the logical field inspection on the land name field and the determination of the monitoring type field corresponding to each polygon include:

[0023] checking whether the land name field corresponding to the polygon of the first preset polygon type is the original building structure;

[0024] if not, determining the monitoring type field corresponding to each polygon of the first preset polygon type as "newly built building structure polygon";

[0025] checking whether the land name field corresponding to the polygon of the second preset polygon type includes the attribute of the polygon of the first preset polygon type;

[0026] If not, the monitoring type field corresponding to the second preset image block type of each image block is determined as "original building image block";

[0027] Check whether the land type name field corresponding to the third preset image block type of image block includes the attribute of the image block of the corresponding image block type;

[0028] If not, determine the monitoring type field corresponding to the attribute of each image block.

[0029] Further, the preset mode includes:

[0030] The coding rule of the number from top to bottom and left to right includes batch number + monitoring type field + image block sequence number.

[0031] Further, the remote sensing monitoring information extraction data further includes an image basic information acquisition layer, and the attribute of the result requirement field includes:

[0032] Export the result requirement field attribute table from the image block initial extraction result layer and the image basic information acquisition layer;

[0033] Determine the attribute of the result requirement field according to the result requirement field attribute table.

[0034] Further, the output of the checking result of the remote sensing monitoring information extraction data of the image block includes:

[0035] Export the image block attribute table from the image block initial extraction result layer, and name the image block attribute table as a remote sensing monitoring information extraction data record table, wherein the image block attribute table includes the land type name field, the monitoring type field, the monitoring image block number field and the result requirement field;

[0036] Put the remote sensing monitoring information extraction data record table and the image block initial extraction result layer into a folder, and name the folder as the checking result output of the remote sensing monitoring information extraction data of the image block.

[0037] In a second aspect, the present disclosure provides a remote sensing monitoring information extraction data checking device, which includes:

[0038] The import module is configured to import remote sensing monitoring information extraction data into an initial data layer, wherein the remote sensing monitoring information extraction data includes an image block initial extraction result layer and a land type image block layer;

[0039] The generation module is configured to use the identification function module of ArcGIS to identify the original land type image block in the land type image block layer on the image block initial extraction result layer, and generate the land type name field corresponding to each image block.

[0040] A determining module is configured to perform logical field checking on the land type name field to determine the monitoring type field corresponding to each of the polygons;

[0041] An extracting module is configured to extract the result requirement field in the polygon initial extraction result layer by using an extraction tool of ArcGIS;

[0042] A fusing module is configured to fuse the polygons corresponding to the result requirement field and the monitoring type field with the same attribute by using a fusion tool of ArcGIS, and to split the fused polygons by using a multi-component splitting tool;

[0043] A topological checking module is configured to perform topological checking on the split polygons by using a topological tool of ArcGIS;

[0044] A calculating module is configured to calculate the area of the polygons and delete the polygons with an area less than or equal to a preset area threshold;

[0045] A numbering module is configured to number the polygons according to a preset manner and determine a monitoring polygon number field;

[0046] The determining module is configured to determine the attribute of the result requirement field;

[0047] An output module is configured to output the checking result of the remote sensing monitoring information extraction data of the polygons.

[0048] Further, the device further comprises:

[0049] A first checking module is configured to check, by using an identification function module of ArcGIS, whether the polygon with the type of pushed earth has an overlap with the pushed earth area layer;

[0050] A first deleting module is configured to delete the polygon with the type of pushed earth if there is an overlap;

[0051] A second checking module is configured to check, by using an identification function module of ArcGIS, whether the polygon with the type of photovoltaic has an overlap with the photovoltaic panel layer;

[0052] A second deleting module is configured to delete the polygon with the type of photovoltaic if there is an overlap.

[0053] In a third aspect, a computer device is provided in the embodiments of the present disclosure, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the remote sensing monitoring information extraction data checking method in the first aspect when executing the computer program.

[0054] In a fourth aspect, the present disclosure provides a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the steps of the remote sensing monitoring information extraction data verification method of the first aspect.

[0055] Embodiments of the present application have the following advantages:

[0056] The remote sensing monitoring information extraction data verification method provided by the embodiments of the present application can comprehensively verify the content integrity, logical consistency and filling specification of the full field and full content of the remote sensing monitoring information extraction data, thereby improving the accuracy of remote sensing monitoring information extraction and the integrity, specification and logical consistency of attribute information, improving the efficiency and accuracy of verification work, ensuring the quality of remote sensing information monitoring information extraction data verification results, and avoiding omission and errors of attribute information caused by manual verification.

[0057] In order to make the above objectives, characteristics and advantages of the present application more apparent and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments, and it should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0059] Figure 1 A flowchart of a remote sensing monitoring information extraction data verification method provided by the embodiments of the present application is shown;

[0060] Figure 2 A structural schematic diagram of a remote sensing monitoring information extraction data verification device provided by the embodiments of the present application is shown. DETAILED DESCRIPTION

[0061] The embodiments of the present application will be described in detail below, and the examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation on the present application.

[0062] It is to be noted that when an element is referred to as being "on" another element, it can be directly on the other element or intervening elements can also be present. In contrast, when an element is referred to as being "directly on" another element, there are no intervening elements present. The terms "overlying," "atop," and "on" as used herein refer to the relative positioning of elements when attached to one another, and these terms do not necessarily imply any or a particular order in which steps are performed.

[0063] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above-mentioned terms in the present application can be understood according to the specific circumstances.

[0064] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise explicitly specified and limited.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the template herein is only for the purpose of describing specific embodiments and is not intended to limit the present application. The term "and / or" used herein includes any and all combinations of one or more of the associated listed items.

[0066] Embodiment 1

[0067] As Figure 1 shown, it is a flow chart of a remote sensing monitoring information extraction data verification method in the embodiments of the present application. The remote sensing monitoring information extraction data verification method provided by the embodiments of the present application includes the following steps:

[0068] Step 101, importing remote sensing monitoring information extraction data into an initial data layer, wherein the remote sensing monitoring information extraction data includes a graph initial extraction result layer and a land class graph layer.

[0069] Specifically, the remote sensing monitoring information extraction data required for the preliminary preparation of the verification includes a land class map block layer and a map block initial extraction result layer. The map block refers to a single land class block divided by administrative boundaries, land ownership boundaries or linear ground objects. The land class map block layer is composed of map blocks before the change. The map block initial extraction result layer is an initial layer containing map blocks before and after the change and preset result requirement fields. After naming all types of remote sensing monitoring information extraction data, they are imported into the initial data layer to facilitate comprehensive verification of the remote sensing monitoring information extraction data.

[0070] In step 102, the identification function module of ArcGIS is used to identify the original land class map blocks in the land class map block layer on the map block initial extraction result layer, and generate a land class name field corresponding to each map block.

[0071] Specifically, the land class map block layer is superimposed on the map block initial extraction result layer, and then the identification function module of ArcGIS (geographic information system software) is used to identify the original land class map blocks in the land class map block layer on the map block initial extraction result layer, i.e. the map blocks before the change, and generate a land class name field corresponding to each map block. By determining the land class name field of the map block, each map block type can be distinguished and marked, which facilitates comprehensive verification of the remote sensing monitoring information extraction data.

[0072] In step 103, the land class name field is checked for logical fields to determine the monitoring type field corresponding to each map block.

[0073] Specifically, it is checked whether the land class name field corresponding to the first preset map block type is an original building, and if not, "newly added building map block" is filled in the monitoring type field corresponding to each map block of the first preset map block type. The first preset map block type includes but is not limited to: buildings with clear construction purpose, water construction, buildings, built roads, roads under construction, road network, railway, large ditch, newly added photovoltaic, newly added golf, hardened land, park green land, mining land, football field, etc. By checking whether the map block of the above first preset map block type is an original building, the newly added building map block can be effectively marked and the corresponding monitoring type field can be filled in, and then the attribute classification of various map blocks can be performed.

[0074] Further, check whether the attribute of the first preset type of the plot includes the attribute of the second preset type of the plot. If not, fill in the monitoring type field corresponding to each of the second preset type of the plot with "original building plot". The second preset type of the plot includes but is not limited to: urban and rural road land, urban residential land, high education land, industrial land, highway land, public facilities land, park and green land, square land, rail transit land, government and media publishing land, traffic service station land, science and education land, rural homestead, commercial service industry land, facility agricultural land, water conservancy construction land, special land, logistics storage land, mining land, railway land, airport land, port land, pipeline transportation land, idle land, etc. By checking whether the above-mentioned second preset type of the plot includes the attribute of the newly added building plot, the original building plot can be effectively labeled and the corresponding monitoring type field is filled in, and then the attribute classification of various plots is carried out.

[0075] Further, check whether the attribute of the first preset type of the plot includes the attribute of the second preset type of the plot. If not, fill in the monitoring type field corresponding to each of the second preset type of the plot with "original building plot". The second preset type of the plot includes but is not limited to: urban and rural road land, urban residential land, high education land, industrial land, highway land, public facilities land, park and green land, square land, rail transit land, government and media publishing land, traffic service station land, science and education land, rural homestead, commercial service industry land, facility agricultural land, water conservancy construction land, special land, logistics storage land, mining land, railway land, airport land, port land, pipeline transportation land, idle land, etc. By checking whether the above-mentioned second preset type of the plot includes the attribute of the newly added building plot, the original building plot can be effectively labeled and the corresponding monitoring type field is filled in, and then the attribute classification of various plots is carried out.

[0076] For example, check if the patches of dry land, watered land and paddy field include the attribute of cultivated land. If not, fill in "cultivated land change patch" in the monitoring type field of the patches of dry land, watered land and paddy field. Check if the patches of orchard, tea garden, rubber garden and other garden land include the attribute of plantation land. If not, fill in "plantation land change patch" in the monitoring type field of the patches of orchard, tea garden and rubber garden. Check if the patches of arbor forest land, bamboo forest land, shrub forest land and other forest land include the attribute of forest land. If not, fill in "forest land change patch" in the monitoring type field of the patches of arbor forest land, bamboo forest land, shrub forest land and other forest land. Check if the patches of natural pasture land, artificial pasture land and other grassland include the attribute of grassland. If not, fill in "grassland change patch" in the monitoring type field of the patches of natural pasture land, artificial pasture land and other grassland. Check if the patches of mangrove land, forest swamp, shrub swamp, marsh grassland, salt field, coastal beach, inland beach, and marsh land include the attribute of wetland. If not, fill in "wetland change patch" in the monitoring type field of the patches of mangrove land, forest swamp, shrub swamp, marsh grassland, salt field, coastal beach, inland beach and marsh land. Check if the patches of river water surface, lake water surface, reservoir water surface, pond water surface, ditch, glacier and permanent snow, bare rock and gravel land, breeding pond and rural road include the attribute of other non-construction. If not, fill in "water area and other change patch" in the monitoring type field of the patches of river water surface, lake water surface, reservoir water surface, pond water surface, ditch, glacier and permanent snow, bare rock and gravel land, breeding pond and rural road.

[0077] Through the logical check of various patch types, the corresponding monitoring type field of the patch can be quickly and effectively filled in, and then the attribute classification of various patch types is performed, thereby improving the accuracy of remote sensing monitoring information extraction and the integrity, standardization and logical consistency of attribute information.

[0078] In step 104, the extraction tool of ArcGIS is used to extract the result requirement field in the patch initial extraction result layer.

[0079] Specifically, the result requirement field needed in the checking result of remote sensing monitoring information extraction data in the patch initial extraction result layer is extracted, so as to facilitate the filling of the final checking result of remote sensing monitoring information extraction and output. The result requirement field includes county-level administrative region code, county-level administrative region name, later time phase, center point X coordinate, center point Y coordinate and remarks.

[0080] Step 105, using the fusion tool of ArcGIS, fusing the polygons corresponding to the result requirement field and the monitoring type field with the same attribute, and calling the multi-component splitting tool to split the fused polygons.

[0081] Specifically, the polygons corresponding to the result requirement field and the monitoring type field with the same attribute are fused by using the fusion tool of ArcGIS, and the fusion purpose is to fuse the polygons with the same attribute and adjacent into one polygon. However, all polygons with the same attribute and not adjacent are fused into one polygon in the fusion process. Therefore, the multi-component splitting tool needs to be called to split the fused polygons with the same attribute but not adjacent, and the splitting purpose is to determine the attribute information of each split polygon. By fusing the polygons with the same attribute and splitting the polygons with the same attribute but not adjacent, the accuracy of remote sensing monitoring information extraction, the integrity, standardization and logical consistency of attribute information, and the quality of remote sensing information monitoring information extraction data verification results can be improved.

[0082] Step 106, using the topology tool of ArcGIS to perform topology checking on the split polygons.

[0083] Specifically, the split polygons are checked by using the topology tool of ArcGIS, and the checking rule is that there should be no overlap. If there is overlap, an error is output, and if there is no overlap, the checking is passed. Through the topology checking of the polygons, the polygons with overlap can be effectively excluded, the quality of remote sensing information monitoring information extraction data verification results is guaranteed, and the omission and errors caused by manual checking due to negligence are avoided.

[0084] Step 107, calculating the area of the polygons and deleting the polygons with an area less than or equal to a preset area threshold.

[0085] Specifically, the area of each polygon is calculated, and the calculation unit is mu and the format is x.xx. The polygons with an area less than or equal to a preset area threshold are deleted. It can be understood that the preset area threshold can be 0.00 or 0.01, etc., which can be set according to actual needs, and the embodiments of the present application do not limit this. By calculating the area of the polygons and deleting the polygons with a smaller area, the quality of remote sensing information monitoring information extraction data verification results is guaranteed, and the deviation of the cognition of the change of the area of the polygons caused by the subjective factors of the staff is avoided.

[0086] Step 108, numbering the polygons according to a preset mode and determining a monitoring polygon number field.

[0087] It can be understood that the map patch is numbered in a top-down and left-to-right manner, the coding rule of the number includes batch number + monitoring type field + map patch sequence number, and the number is determined as the monitoring map patch number field of the map patch. Wherein, the batch number adopts capital Roman numerals, the monitoring type field adopts capital letters, and the map sequence number adopts Arabic numerals, for example: I XJ1, I XJ2, I XJ3. Through the numbering of the map patch, the map patch can be accurately positioned according to the specified number in the remote sensing information monitoring information extraction data checking result, and the efficiency and accuracy of the checking work are improved.

[0088] Step 109, determine the attribute of the result requirement field.

[0089] Further, the remote sensing monitoring information extraction data further includes an image basic information acquisition layer, the image basic information acquisition layer contains basic information of each map patch and each field, the result requirement field attribute table can be derived from the map patch initial extraction result layer and the image basic information acquisition layer; the result requirement field attribute table contains attribute information of each result requirement field, the attribute of the result requirement field is determined according to the attribute information, and the integrity, standardization and logical consistency of the attribute information of each field are improved.

[0090] Step 110, output the checking result of the remote sensing monitoring information extraction data of the map patch.

[0091] Specifically, the map patch attribute table is derived from the map patch initial extraction result layer, and the map patch attribute table is named as the remote sensing monitoring information extraction data record table, wherein the map patch attribute table includes the land class name field, the monitoring type field, the monitoring map patch number field and the result requirement field; the remote sensing monitoring information extraction data record table and the map patch initial extraction result layer are put into a folder, the folder is named as the checking result of the remote sensing monitoring information extraction data of the map patch, and the checking result is output.

[0092] In an optional embodiment, step 103 further includes:

[0093] Step 1031, check whether the map patch of the type of pushing soil has overlap with the pushing soil area layer by using the identification function module of ArcGIS;

[0094] Step 1032, if there is overlap, delete the map patch of the type of pushing soil;

[0095] Step 1033, check whether the map patch of the type of photovoltaic has overlap with the photovoltaic panel layer by using the identification function module of ArcGIS;

[0096] Step 1034, if there is overlap, delete the map patch of the type of photovoltaic.

[0097] It is understood that the bulldozing area layer refers to a layer consisting solely of land parcels classified as bulldozing land, and the photovoltaic panel layer refers to a layer consisting solely of land parcels classified as photovoltaic panel land. Since the patches in the bulldozing area layer and the photovoltaic panel layer have already been extracted and verified, there is no need to extract and verify them again. Therefore, it is necessary to delete the patches that overlap with the bulldozing area layer and the photovoltaic panel layer through inspection, which improves the efficiency of the verification work.

[0098] The verification method for remote sensing monitoring information extraction data provided in this application improves the accuracy of remote sensing monitoring information extraction and the completeness, standardization, and logical consistency of attribute information by comprehensively verifying the complete fields and content of the extracted data in terms of content integrity, logical consistency, and filling standardization. At the same time, it can improve the efficiency and accuracy of the verification work, ensure the quality of the verification results of remote sensing monitoring information extraction data, and avoid the omission and error of attribute information caused by negligence in manual verification.

[0099] Example 2

[0100] like Figure 2 The diagram shown is a structural schematic of a remote sensing monitoring information extraction data verification device 200 according to an embodiment of this application. The device includes:

[0101] Import module 201 is used to import remote sensing monitoring information extracted data into the initial data layer, wherein the remote sensing monitoring information extracted data includes an initial extraction result layer of map features and a land cover map feature layer;

[0102] The generation module 202 is used to identify the original land use type of the land use type in the land use type layer on the initial extraction result layer of the land use type layer using ArcGIS identification function module, and generate the land use type name field corresponding to each land use type.

[0103] The determination module 203 is used to perform logical field checks on the land category name field to determine the monitoring type field corresponding to each of the map patches;

[0104] Extraction module 204 is used to extract the result requirement fields from the initial extraction result layer of the map feature using ArcGIS extraction tools;

[0105] The fusion module 205 is used to use ArcGIS's fusion tools to merge the polygons corresponding to the result requirement field and monitoring type field with the same attribute, and call the multi-component splitting tool to split the merged polygons.

[0106] Topology check module 206 is used to perform topology checks on the split polygons using ArcGIS topology tools;

[0107] The computing module 207 is configured to calculate the area of the polygon and delete the polygon with an area less than or equal to a preset area threshold.

[0108] The numbering module 208 is configured to number the polygons in a preset manner and determine a monitoring polygon number field.

[0109] The determining module 209 is configured to determine the attribute of the achievement requirement field.

[0110] The output module 210 is configured to output the checking result of the remote sensing monitoring information extraction data of the polygon.

[0111] Optionally, the checking device for the remote sensing monitoring information extraction data further comprises:

[0112] The first checking module 211 is configured to check whether the polygon with the polygon type of pushed earth has an overlap with the pushed earth area layer by using the identification function module of ArcGIS.

[0113] The first deleting module 212 is configured to delete the polygon with the polygon type of pushed earth if there is an overlap.

[0114] The second checking module 213 is configured to check whether the polygon with the polygon type of photovoltaic has an overlap with the photovoltaic panel layer by using the identification function module of ArcGIS.

[0115] The second deleting module 214 is configured to delete the polygon with the polygon type of photovoltaic if there is an overlap.

[0116] Optionally, the checking device for the remote sensing monitoring information extraction data further comprises:

[0117] The third checking module is configured to check whether the land type name field corresponding to the polygon of the first preset polygon type is the original built structure.

[0118] The first determining module is configured to determine the monitoring type field corresponding to each polygon of the first preset polygon type as “newly built structure polygon” if the answer is no.

[0119] The fourth checking module is configured to check whether the land type name field corresponding to the polygon of the second preset polygon type includes the attribute of the polygon of the first preset polygon type.

[0120] The second determining module is configured to determine the monitoring type field corresponding to each polygon of the second preset polygon type as “original built structure polygon” if the answer is no.

[0121] The fifth checking module is configured to check whether the land type name field corresponding to the polygon of the third preset polygon type includes the attribute of the polygon of the corresponding polygon type.

[0122] ​The third determining module is configured to determine the attribute of the monitoring type field corresponding to each of the image patches if no.

[0123] Optionally, the verification device for the remote sensing monitoring information extraction data further comprises:

[0124] The exporting module is configured to export an attribute table of the result requirement field from the image patch initial extraction result layer and the image basic information acquisition layer.

[0125] The fourth determining module is configured to determine the attribute of the result requirement field according to the attribute table of the result requirement field.

[0126] Optionally, the verification device for the remote sensing monitoring information extraction data further comprises:

[0127] The naming module is configured to export an image patch attribute table from the image patch initial extraction result layer, and name the image patch attribute table as a remote sensing monitoring information extraction data record table, wherein the image patch attribute table comprises the land class name field, the monitoring type field, the monitoring image patch number field and the result requirement field.

[0128] The first output module is configured to output the remote sensing monitoring information extraction data record table as the verification result of the remote sensing monitoring information extraction data of the image patch.

[0129] The verification device for the remote sensing monitoring information extraction data provided by the embodiments of the present application can comprehensively verify the content integrity, the logical consistency and the writing standardization of the full field and the full content of the remote sensing monitoring information extraction data, improve the accuracy of the remote sensing monitoring information extraction, the integrity, the standardization and the logical consistency of the attribute information, improve the efficiency and the accuracy of the verification work, guarantee the quality of the verification result of the remote sensing information monitoring information extraction data, and avoid the omission and the error of the attribute information caused by the negligence of the manual verification.

[0130] In all the examples shown and described herein, any specific values should be interpreted as merely exemplary and not as a limitation, and thus, other examples of the example embodiments can have different values.

[0131] It should be noted that like reference numerals and letters refer to like items throughout the drawings, and thus once an item is defined in one drawing, it is not necessary to further define and explain it in the subsequent drawings.

[0132] The above-described embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the scope of the present application. It should be noted that, for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A method for verifying data extracted from remote sensing monitoring information, characterized in that, The method includes: The remote sensing monitoring information extracted data is imported into the initial data layer, wherein the remote sensing monitoring information extracted data includes the initial extraction result layer of map features and the land cover map feature layer; Using ArcGIS's identification function module, the original land use type of the land use type in the land use type layer is identified on the initial extraction result layer of the land use type, and the land use type name field corresponding to each land use type is generated; Perform logical field checks on the land category name field to determine the monitoring type field corresponding to each of the land parcels; Using ArcGIS's extraction tools, extract the required fields from the initial extraction result layer of the map features; Using ArcGIS's fusion tool, polygons corresponding to the same result requirement field and monitoring type field are merged, and the multi-component splitting tool is called to split the merged polygons. Use ArcGIS's topology tools to perform topology checks on the split polygons; Calculate the area of ​​the patch and delete patches whose area is less than or equal to a preset area threshold; The map patches are numbered according to a preset method, and the monitoring map patch number field is determined; Determine the attributes of the fields required for the deliverables; Output the verification results of the remote sensing monitoring information extracted from the above-mentioned patches.

2. The method for verifying remote sensing monitoring information extraction data according to claim 1, characterized in that, The remote sensing monitoring information extraction data also includes bulldozing area layers and photovoltaic panel layers. Before performing logical field checks on the land type name field to determine the monitoring type field corresponding to each of the map patches, the process includes: Use ArcGIS's identifier module to check whether the polygons of type "bulk soil" overlap with the bulldozed area layer; If there are overlaps, delete the polygons with the type "pile soil". Use ArcGIS's identifier module to check whether the photovoltaic (PV) type of map features overlap with the PV panel layer; If there is overlap, delete the image patches of type photovoltaic.

3. The method for verifying remote sensing monitoring information extraction data according to claim 1, characterized in that, The step of performing logical field checks on the land category name field to determine the monitoring type field corresponding to each of the land parcels includes: Check whether the land category name field corresponding to the first preset map patch type is the original building or structure; If not, then the monitoring type field corresponding to each of the first preset patch types will be determined as "new building patch"; Check whether the land category name field corresponding to the second preset patch type includes the attributes of the first preset patch type; If not, then the monitoring type field corresponding to each of the second preset patch types will be determined as "original building and structure patch"; Check whether the land category name field corresponding to the third preset map patch type includes the attributes of the map patch of the corresponding map patch type; If not, determine the monitoring type field corresponding to the attributes of each of the aforementioned patches.

4. The method for verifying remote sensing monitoring information extraction data according to claim 1, characterized in that, The preset methods include: The coding rules for numbering, from top to bottom and from left to right, include batch number + monitoring type field + patch sequence number.

5. The method for verifying remote sensing monitoring information extraction data according to claim 1, characterized in that, The remote sensing monitoring information extraction data also includes an image basic information acquisition layer, and the determination of the attributes of the required fields in the results includes: Export the result requirement field attribute table from the initial extraction result layer of the map features and the image basic information acquisition layer; The attributes of the result requirement fields are determined according to the result requirement field attribute table.

6. The method for verifying remote sensing monitoring information extraction data according to claim 1, characterized in that, The verification results of the remote sensing monitoring information extracted from the output patch include: Export the patch attribute table from the initial extraction result layer of the patch, and name the patch attribute table the remote sensing monitoring information extraction data record table. The patch attribute table includes the land type name field, the monitoring type field, the monitoring patch number field, and the result requirement field. Place the remote sensing monitoring information extraction data record table and the initial extraction result layer of the map features into a folder, and name the folder "Verification Results of Remote Sensing Monitoring Information Extraction Data of Map Features".

7. A verification device for remote sensing monitoring information extraction data, characterized in that, The device includes: The import module is used to import remote sensing monitoring information extracted data into the initial data layer, wherein the remote sensing monitoring information extracted data includes an initial extraction result layer of map features and a land cover map feature layer; The generation module is used to identify the original land use type of the land use type in the land use type layer on the initial extraction result layer of the land use type, and generate the land use type name field corresponding to each land use type. The determination module is used to perform logical field checks on the land category name field to determine the monitoring type field corresponding to each of the map patches; The extraction module is used to extract the result requirement fields from the initial extraction result layer of the map feature using ArcGIS extraction tools; The fusion module is used to merge polygons corresponding to the same result requirement field and monitoring type field using ArcGIS's fusion tools, and then call the multi-component splitting tool to split the merged polygons. The topology check module is used to perform topology checks on the split polygons using ArcGIS's topology tools; The calculation module is used to calculate the area of ​​the patches and delete patches whose area is less than or equal to a preset area threshold; The numbering module is used to number the map patches according to a preset method and determine the monitoring map patch number field; The determination module is used to determine the attributes of the required fields of the deliverables; The output module is used to output the verification results of the remote sensing monitoring information extracted from the patch.

8. The verification device for remote sensing monitoring information extraction data according to claim 7, characterized in that, The remote sensing monitoring information extraction data also includes bulldozing area layers and photovoltaic panel layers, and the device further includes: The first inspection module is used to check whether the polygon type of the piled soil overlaps with the piled soil layer using ArcGIS's identification function module; The first deletion module is used to delete the polygons of type "pile soil" if there are any overlaps. The second inspection module is used to check whether the photovoltaic type of the patch overlaps with the photovoltaic panel layer using ArcGIS's identification function module; The second deletion module is used to delete the photovoltaic type of the image patch if there is overlap.

9. A computer device, characterized in that, The system includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method for verifying remote sensing monitoring information extraction data as described in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the verification method for extracting remote sensing monitoring information according to any one of claims 1-6.

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