Forest right survey method based on three-dimensional live-action modeling

Abstract

The invention discloses a forest right investigation method based on three-dimensional live-action modeling, and the method comprises the steps: obtaining forest region basic data of a target forest region based on a forest right investigation request; the forest right investigation request comprises proof data of a plurality of associated parties; the forest area basic data comprises historical modeling data; based on the historical modeling data and the proof data of the target forest region, constructing a historical live-action model and confirming a historical forest right boundary; based on the historical forest right boundary, obtaining historical mark data; the historical marker comprises a consensus marker and a dispute marker; on the basis of the historical mark data, obtaining current modeling data to construct a current real scene model, and confirming a plurality of historical marks one by one in the current real scene model to obtain a plurality of current marks; and obtaining a current forest right boundary and a plurality of boundary points based on the plurality of current markers. The technical problems of low confirmation efficiency and high cost of the boundary point in the forest right investigation process in the prior art are solved.

Description

Technical Field

[0001] The invention relates to the technical field of forest right investigation, and in particular to a forest right investigation method based on three-dimensional real-scene modeling. Background Art

[0002] Forest rights investigation refers to the work of investigating and verifying the ownership, use rights, and transfer rights of forest land. Its purpose is to accurately grasp the ownership of forest land, establish and improve forest land ownership archives, determine the use rights and transfer rights of forest land, standardize the use and transfer of forest land, protect the legitimate rights and interests of farmers, promote the rational use and protection of forest resources, and provide a scientific basis for promoting the sustainable development of forestry.

[0003] At present, forest rights surveys usually involve coordinating multiple parties involved in forest rights surveys to the site and investigating and confirming the boundary points one by one. This method is costly and inefficient. In addition, when the environment near the boundary points to be confirmed changes due to geological disasters and other reasons, the cost of confirming the boundary points will be further increased and the efficiency will be further reduced.

[0004] It can be seen that how to improve the efficiency of boundary point confirmation while reducing the confirmation cost during the forest rights investigation process is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The purpose of the present invention is to provide a forest rights investigation method based on three-dimensional real-scene modeling, which solves the technical problems of low efficiency and high cost in confirming boundary points in the process of forest rights investigation in the prior art.

[0006] The present invention provides a forest rights investigation method based on three-dimensional real-scene modeling, the method comprising:

[0007] Based on the forest rights investigation request, obtain the basic forest area data of the target forest area; the forest rights investigation request includes the certification data of several related parties; the basic forest area data includes historical modeling data;

[0008] Based on the historical modeling data and certification data of the target forest area, build a historical reality model and confirm the historical forest rights boundary;

[0009] Based on the historical forest rights boundary, historical marking data is obtained; the historical marking data includes a number of historical markers, as well as the type, coordinates and image data of each historical marker; historical markers include consensus markers and disputed markers;

[0010] Based on the historical marking data, current modeling data is obtained to build a current reality model, and a number of historical markers are confirmed one by one in the current reality model to obtain a number of current markers;

[0011] Based on some current markers, obtain the current forest rights boundary and some boundary points.

[0012] Furthermore, based on the forest rights survey request, obtain the basic data of the target forest area, including:

[0013] Based on the certification data of each related party, obtain the scope of certification requirements for each related party and the effective date of the certification;

[0014] Based on the scope of proof requirements and the effective time of proof for each related party, obtain the historical remote sensing images corresponding to each related party and the time nodes of the historical remote sensing images;

[0015] The earliest historical remote sensing image at the time node is used as the reference remote sensing image, and the remaining historical remote sensing images of each related party are used as the remote sensing images to be compared;

[0016] Compare each remote sensing image to be compared with the reference remote sensing image to obtain the difference between each remote sensing image to be compared and the reference remote sensing image;

[0017] Acquire a reference remote sensing image and a remote sensing image to be compared that meets a preset difference condition as a target remote sensing image;

[0018] The target remote sensing image and the auxiliary parameters of each target remote sensing image are used as historical modeling data.

[0019] Furthermore, based on the historical modeling data and certification data of the target forest area, a historical reality model is constructed and the historical forest rights boundary is confirmed, including:

[0020] Based on each target remote sensing image of the target forest area and the corresponding auxiliary parameters, several historical real scene models of the target forest area are constructed, and a time node is marked for each historical real scene model;

[0021] Based on the certification data corresponding to each time node, the historical forest rights boundaries are marked in the corresponding historical real-life model.

[0022] Furthermore, based on the historical forest rights boundary, historical marking data is obtained, including:

[0023] Based on the historical forest rights boundary in each historical real scene model, obtaining boundary marker data corresponding to each historical real scene model; the boundary marker data includes type, coordinates and image data;

[0024] Based on the boundary marker data corresponding to each historical real-life model, consensus markers and dispute markers are obtained as historical markers, and the time node and proof data source of each historical marker are marked.

[0025] Furthermore, based on the historical marking data, current modeling data is obtained to construct a current reality model, including:

[0026] Confirm the target range of the target forest area based on historical markers; the target range includes the coordinates of consensus markers and disputed markers;

[0027] According to the target range of the target forest area, obtain the current remote sensing image of the target forest area and auxiliary parameters of the current remote sensing image;

[0028] Based on the current remote sensing images and their auxiliary parameters, a current real-life model of the target forest area is constructed.

[0029] Furthermore, a number of historical markers are confirmed one by one in the current reality model to obtain a number of current markers, including:

[0030] Based on the current reality model, determine whether consensus markers or controversial markers exist one by one;

[0031] If yes, mark it in the current reality model and use the consensus marker as the current marker; if no, obtain a new consensus marker or a new disputed marker based on the coordinates of the consensus marker or the disputed marker;

[0032] Displaying new consensus markers, disputed markers and new disputed markers in the current reality model for confirmation by each related party, and collecting confirmation information from each related party;

[0033] Based on the confirmation information from various related parties, the current markers are confirmed among the new consensus markers, controversial markers and new controversial markers.

[0034] Furthermore, based on several current markers, the current forest rights boundaries and several boundary points are obtained, including:

[0035] In the current real-scene model, each current marker is numbered and connected to obtain the current forest right boundary, and the boundary parameters at each current marker are obtained; the boundary parameters include the number and coordinates of the current marker;

[0036] Based on the boundary parameters of each current marker, a plurality of boundary points are identified in the plurality of current markers.

[0037] Furthermore, based on the boundary parameters of each current marker, a plurality of boundary points are identified in the plurality of current markers, including:

[0038] SS1: randomly obtain a current marker;

[0039] SS2: Get the numbers and coordinates of two adjacent current markers based on the number of the current marker;

[0040] SS3: Based on the coordinates of the current marker and the coordinates of the two adjacent current markers, obtain the space angle and plane angle corresponding to the current marker;

[0041] SS4: Determine whether the spatial angle and the plane angle meet the requirements of the boundary point, the boundary point requirements include that the plane angle is less than the first preset angle, or the spatial angle is less than the second preset angle; if yes, keep the current marker; if no, delete the current marker;

[0042] SS5: Get the number and coordinates of the next current marker and return to step SS2 until the last current marker;

[0043] SS6: After repeating steps SS1 to SS5 for a preset number of times, all remaining current markers are used as boundary points.

[0044] Furthermore, based on the historical forest rights boundary in each historical real scene model, the boundary marker data corresponding to each historical real scene model is obtained, including:

[0045] Acquire a number of candidate markers along each historical forest right boundary in the historical reality model, and image data of each candidate marker;

[0046] Identify the image data of each marker to be selected to obtain marker information; the marker information includes the type, color and size data of the marker;

[0047] Determine whether the marker information of each marker to be selected meets the preset marker conditions; the preset marker conditions include that the type of the marker is a preset type, the color of the marker is a preset color, and the size data of the marker is not less than a preset size;

[0048] If so, the candidate marker is used as the boundary marker.

[0049] Furthermore, based on the boundary marker data corresponding to each historical reality model, consensus markers and disputed markers are obtained, including:

[0050] The boundary markers that exist on each historical forest right boundary in each historical real-life model are regarded as consensus markers, and the remaining boundary markers are regarded as disputed markers.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] In the present invention, the historical modeling data of the corresponding time node is obtained through the certification data of several related parties, and the historical real-scene model is constructed and the historical forest right boundary is confirmed in the historical real-scene model; the construction of the historical real-scene model is conducive to the true restoration of the historical forest right boundary specified in the certification data; the historical marking data on the historical forest right boundary is obtained in each historical real-scene model, so as to confirm the scope of the target forest area and obtain the current modeling data; the current real-scene model is constructed through the current modeling data, and each historical marker is confirmed one by one in the current real-scene model to obtain the current marker, so that the current forest right boundary and boundary point are more accurate, which is conducive to reducing disputes between related parties, improving the confirmation efficiency of boundary points and reducing the confirmation cost of boundary points. The technical problems of low efficiency and high cost of boundary point confirmation in the forest right investigation process in the prior art are solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 Shown is a flow chart of a forest rights investigation method based on three-dimensional real-scene modeling provided in an embodiment of the present application.

[0054] Figure 2 Shown Figure 1 An exemplary flow chart of step S1 in FIG. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0056] like Figure 1 As shown, a forest rights investigation method based on three-dimensional real-scene modeling includes:

[0057] S1: Based on the forest rights investigation request, obtain the basic data of the target forest area; the forest rights investigation request includes the certification data of several related parties; the basic data of the forest area includes historical modeling data;

[0058] In this embodiment, several related parties include adjacent forest rights holders, forest rights owners, local forestry management departments, and grassroots management departments. Each related party generates a forest rights investigation request after uploading the certification data related to the target forest area. The certification data of each related party includes the certification effective time; obtaining the corresponding historical modeling data based on the certification effective time is more persuasive and conducive to obtaining the approval of the corresponding related party.

[0059] S2: Based on the historical modeling data and certification data of the target forest area, build a historical reality model and confirm the historical forest rights boundary;

[0060] In this embodiment, the certification data includes the right holder of the target forest land, the place name, the area, the tree species, the certification effective time, the certification validity period and the boundary information; wherein the boundary information includes the east boundary, the west boundary, the south boundary and the north boundary. The boundary information is important information for confirming the ownership scope of the target forest area. The boundary information is usually expressed in text form; it is often described based on natural features such as topography, ridges, and gullies. When the topography at the boundary changes due to some force majeure factors, it is more difficult to confirm the boundary, and the right holders of adjacent forest lands are prone to forest rights disputes.

[0061] In this embodiment, a historical real-scene model is constructed based on historical modeling data and corresponding certification data, which facilitates the confirmation of the historical forest rights boundaries at that time in the historical real-scene model; it is convenient for all related parties to confirm and provides a reference basis for the confirmation of the current forest rights boundaries.

[0062] S3: Based on the historical forest rights boundary, historical marking data is obtained; the historical marking data includes a number of historical markers, as well as the type, coordinates and image data of each historical marker; historical markers include consensus markers and disputed markers;

[0063] In this embodiment, a number of historical markers are acquired along the historical forest right boundary and the types, coordinates and images of the historical markers are collected; there are many types of historical markers, including buildings, plants and large rocks.

[0064] In this embodiment, historical markers are divided into consensus markers and disputed markers; consensus markers refer to markers whose existence can be proven in the proof data of each related party; disputed markers refer to markers whose existence can be proven in the proof data of at least one related party, but cannot be proven in the proof data of at least one related party.

[0065] Dividing historical markers into consensus markers and controversial markers will facilitate the subsequent improvement of marker confirmation efficiency.

[0066] S4: Based on the historical marking data, obtain current modeling data to build a current reality model, and confirm a number of historical markers one by one in the current reality model to obtain a number of current markers;

[0067] In this embodiment, when obtaining the current modeling data, the corresponding range needs to include the coordinates of all historical markers. The current real scene model is constructed based on the current modeling data, and then the corresponding current markers are obtained one by one in the current real scene model based on the coordinates of each historical marker, and then confirmed by all related parties;

[0068] S5: Based on some current markers, obtain the current forest rights boundary and some boundary points.

[0069] In this embodiment, when the current forest right boundary is obtained based on a number of current markers, the current forest right boundary and a number of boundary points are confirmed according to the coordinates of the current markers. In this embodiment, the number of boundary points is not more than the number of current markers.

[0070] The specific implementation process of this embodiment includes:

[0071] In this embodiment, the historical modeling data of the corresponding time node is obtained through the certification data of several related parties, and the historical real-scene model is constructed and the historical forest rights boundary is confirmed in the historical real-scene model; the construction of the historical real-scene model is conducive to the true restoration of the historical forest rights boundary specified in the certification data; the historical marking data on the historical forest rights boundary is obtained in each historical real-scene model, so as to confirm the scope of the target forest area and obtain the current modeling data; the current real-scene model is constructed through the current modeling data, and each historical marker is confirmed one by one in the current real-scene model to obtain the current marker, so that the current forest rights boundary and boundary point are more accurate, which is conducive to reducing disputes between related parties, improving the efficiency of boundary point confirmation and reducing the cost of boundary point confirmation. The technical problems of low efficiency and high cost of boundary point confirmation in the existing technology during forest rights investigation are solved.

[0072] In this embodiment, Figure 2 As shown, based on the forest rights survey request, obtain the basic data of the target forest area, including:

[0073] S11: Based on the certification data of each related party, obtain the certification requirement scope of each related party and the certification effective time;

[0074] In this embodiment, the certification data includes the rights holder of the target forest land, the place name, the area, the tree species, the certification effective time, the certification validity period and the boundary information; in this embodiment, the scope of the certification requirement is confirmed based on the boundary information.

[0075] S12: Based on the scope of proof requirements and the effective time of proof of each related party, obtain the historical remote sensing images corresponding to each related party and the time nodes of the historical remote sensing images;

[0076] In this embodiment, the historical remote sensing images are obtained through a public data platform or a professional remote sensing supplier.

[0077] In this embodiment, the closer the time node of the historical remote sensing image is to the effective time of the certificate, the better. However, due to the limitation of historical remote sensing data, the time node of the historical remote sensing image may be separated from the effective time of the certificate by a long time. At this time, obtain a number of consecutive historical remote sensing images of the target forest area before and after the effective time of the certificate, and confirm the time node requirements of the historical remote sensing images in combination with the geological disaster records of the area where the target forest area is located, and select the historical remote sensing images that meet the time node requirements and are closest to the effective time of the certificate.

[0078] For example, when a geological disaster has occurred after the effective date of the certification, the time nodes of the historical remote sensing images are required to include the time nodes before the effective date of the certification;

[0079] When a geological disaster occurs before the effective time of the certificate, the time nodes of the historical remote sensing images are required to include time nodes after the effective time of the certificate.

[0080] In this embodiment, the certification effective time of the certification data of each associated party can be the same or different. When the certification effective time of the certification data of each associated party is different, especially when the interval between the certification effective time of each associated party is long, it is necessary to obtain the historical remote sensing image of the corresponding time node according to the certification effective time corresponding to each associated party.

[0081] S13: The earliest historical remote sensing image at the time node is used as the reference remote sensing image, and the remaining several historical remote sensing images of each related party are used as the remote sensing images to be compared;

[0082] When the certification data of each related party have different effective time, the earliest historical remote sensing image shall be used as the reference remote sensing image; for forest rights investigation, the earliest certification data shall be of reference significance; the remaining subsequent historical remote sensing images shall be used as remote sensing images to be compared.

[0083] S14: Compare each remote sensing image to be compared with the reference remote sensing image to obtain the difference between each remote sensing image to be compared and the reference remote sensing image;

[0084] In this embodiment, the comparison process of the reference remote sensing image and the remote sensing image to be compared includes:

[0085] The image processing step includes performing correction processing on the reference remote sensing image and the remote sensing image to be compared, including radiation correction, geometric correction and image registration;

[0086] The feature extraction step is to obtain a number of reference objects and the coordinates and characteristic dimensions of each reference object from the reference remote sensing image after correction through spectral features and texture features; obtain the objects to be compared and the characteristic dimensions of the objects to be compared in each remote sensing image to be compared based on the coordinates of the reference objects; in this embodiment, the characteristic dimensions of the reference objects and the objects to be compared include length, width, height, and circumference of the horizontal projection surface.

[0087] In the feature comparison step, the reference object corresponding to the same coordinates is compared with the object to be compared in each remote sensing image to obtain the object difference value; the difference between each remote sensing image to be compared and the reference remote sensing image is expressed as the sum of the object difference values ​​of each object to be compared and the corresponding reference object in each remote sensing image to be compared. The calculation formula is as follows:

[0088]

[0089]

[0090] Among them, CYZ is the difference value; BC i is the i-th characteristic size of the object to be compared, CC i is the i-th characteristic size of the reference feature; CYD is the difference; CYZ is the i is the difference between the i-th feature to be compared and the corresponding reference feature.

[0091] S15: Acquire a reference remote sensing image and a remote sensing image to be compared that meets a preset difference condition as a target remote sensing image;

[0092] In this embodiment, the difference between each remote sensing image to be compared and the reference remote sensing image is compared and arranged in the order of time nodes.

[0093] The preset difference conditions include:

[0094] The difference is greater than a first preset difference;

[0095] And / or the difference between the difference degree and the previous remote sensing image to be compared is greater than a second preset difference degree.

[0096] Setting preset difference conditions can screen the remote sensing images to be compared, reduce the amount of historical modeling data, and avoid repeatedly constructing historical real-scene models based on remote sensing images to be compared with too small a difference.

[0097] S16: Using the target remote sensing image and auxiliary parameters of each target remote sensing image as historical modeling data.

[0098] In this embodiment, the auxiliary parameters of the target remote sensing image include resolution, band range, solar altitude angle, azimuth angle and historical survey data.

[0099] In this embodiment, based on the historical modeling data and certification data of the target forest area, a historical real scene model is constructed and the historical forest rights boundary is confirmed, including:

[0100] S21: Based on each target remote sensing image of the target forest area and the corresponding auxiliary parameters, construct several historical real scene models of the target forest area, and mark a time node for each historical real scene model;

[0101] In this embodiment, the specific construction process of the historical real scene model specifically includes:

[0102] The image preprocessing step preprocesses the target remote sensing image, and the preprocessing includes radiation correction, geometric correction and image registration; radiation correction enables the brightness value of the image to better reflect the real reflection characteristics of the ground object; obtains obvious ground object points in the target remote sensing image, and the actual coordinates of the obvious ground object points for geometric correction. In this embodiment, the historical survey data includes digital elevation model data, contour maps, etc.; the target remote sensing image is registered with the historical survey data through image registration technology, and the registration process includes: obtaining and confirming a preset number of same-name points, that is, points that can be accurately identified in both the target remote sensing image and the historical survey data, and establishing a mapping relationship between the two through these same-name points.

[0103] In this embodiment, when the number of the same-name points in the target remote sensing image is less than the set number of the same-name points, the range of the target remote sensing image is expanded to obtain the same-name points that are not less than the set number of the same-name points.

[0104] In the feature recognition and extraction step, the ground objects in the target remote sensing image are identified through spectral features and texture features to obtain ground objects such as buildings, roads, rivers, and rocks; feature extraction is performed on each ground object to obtain point, line, and surface information of the ground object; for example, for artificial ground objects such as buildings, point features and line features are extracted. Harris corner detection algorithm can be used for point feature extraction, and Canny operator can be used for line feature extraction. Based on the extracted corner points and edges, the surface features of the building are further determined.

[0105] The three-dimensional information construction steps are: given the solar altitude angle and azimuth, the relative height information of the object is obtained by using the shadow of the object; based on the relative height information of the object and the mapping relationship between the target remote sensing image and the historical survey data, the elevation information of the object is obtained; based on the elevation information and point, line and surface information of the object, the three-dimensional main structure of the object is obtained;

[0106] Texture mapping and optimization steps: obtain surface texture data of objects in the target remote sensing image, such as vegetation texture, rock texture and building texture; process the surface texture data, including size adjustment, Gaussian filtering to remove noise and color correction. Then map the surface texture data to the surface of the corresponding three-dimensional main structure, and optimize each three-dimensional main structure to obtain a historical real scene model; the optimization operation includes shape optimization, proportion optimization and texture optimization.

[0107] S22: Based on the certification data corresponding to each time node, mark the historical forest rights boundary in the corresponding historical real-life model.

[0108] Based on the boundary information in the certification data and combined with the land feature information in the historical real scene model, the east boundary, west boundary, south boundary and north boundary are obtained one by one in the historical real scene model and marked. The marked east boundary, west boundary, south boundary and north boundary constitute the historical forest rights boundary.

[0109] In this embodiment, there is at least one historical real-scene model, and the proof effectiveness time of the proof data of each associated party corresponds to a historical remote sensing image at a time node. After step S15, the proof effectiveness time of the proof data of each associated party and the target remote sensing image at each time node are re-mapped.

[0110] Therefore, in this embodiment, each historical real scene model contains at least one historical forest right boundary specified by the certification data of the associated party. The certification data source and the certification effective time are marked at each historical forest right boundary in the historical real scene model.

[0111] In this embodiment, based on the historical forest rights boundary, historical marking data is obtained, including:

[0112] S31: Based on the historical forest right boundary in each historical real scene model, obtain boundary marker data corresponding to each historical real scene model; the boundary marker data includes type, coordinates and image data;

[0113] In this embodiment, a plurality of markers to be selected and image data of each marker to be selected are obtained along each historical forest right boundary in the historical real scene model;

[0114] Identify the image data of each marker to be selected to obtain marker information; the marker information includes the type, color and size data of the marker;

[0115] Determine whether the marker information of each marker to be selected meets the preset marker conditions; the preset marker conditions include that the type of the marker is a preset type, the color of the marker is a preset color, and the size data of the marker is not less than a preset size;

[0116] If so, the candidate marker is used as the boundary marker.

[0117] In this embodiment, the preset categories include buildings, large rocks, rivers, roads, and large plants, such as large trees.

[0118] In this embodiment, when the type of the marker is a river or a road, several turning sections of the river or the road are intercepted as the marker.

[0119] Each marker type is provided with a corresponding preset color and a corresponding preset size; the preset size includes the projection area of ​​the marker.

[0120] S32: Based on the boundary marker data corresponding to each historical real-scene model, consensus markers and dispute markers are obtained as historical markers, and the time node and proof data source of each historical marker are marked.

[0121] In this embodiment, the boundary markers existing on each historical forest right boundary in each historical real scene model are used as consensus markers, and the remaining boundary markers are used as dispute markers.

[0122] In this embodiment, based on the historical marking data, the current modeling data is obtained to construct the current real scene model, including:

[0123] S41: Confirm the target range of the target forest area based on historical markers; the target range includes the coordinates of consensus markers and disputed markers;

[0124] In this embodiment, the coordinates of the consensus marker or the disputed marker include the coordinates of the center point of the projection of the consensus marker or the disputed marker on the horizontal plane.

[0125] S42: acquiring a current remote sensing image of the target forest area and auxiliary parameters of the current remote sensing image according to the target range of the target forest area;

[0126] In this embodiment, there are multiple current remote sensing images, which include satellite remote sensing data and aerial remote sensing data, which are collected using high-resolution series satellite data or drones respectively; the auxiliary parameters of the current remote sensing images include resolution, band range, and DEM data (digital elevation model data).

[0127] S43: Based on the current remote sensing image and auxiliary parameters of the remote sensing image, a current real scene model of the target forest area is constructed.

[0128] In this embodiment, the construction process of the current real scene model includes:

[0129] Image processing step, correcting the current remote sensing image, the correction processing includes radiation correction, geometric correction and image registration;

[0130] The feature extraction step is to extract features from the corrected current remote sensing image to obtain vegetation features, terrain features and artificial building features;

[0131] The model building step is to encrypt the discrete elevation points based on the pre-processed DEM data through interpolation to form a continuous terrain surface model; build a three-dimensional model of forest vegetation according to the characteristics of vegetation; and build a three-dimensional model of artificial buildings according to the characteristics of artificial buildings;

[0132] Texture mapping step, collecting the current texture in the current remote sensing image, and performing texture mapping to obtain the current real scene model; the current texture also needs to be processed during collection, including resizing, correcting deformation, and removing noise;

[0133] The model optimization step adjusts the geometric accuracy of the current real scene model and adjusts the lighting conditions of the current real scene model to natural lighting conditions.

[0134] In this embodiment, a plurality of historical markers are confirmed one by one in the current reality model to obtain a plurality of current markers, including:

[0135] S44: Based on the current reality model, determine whether consensus markers or controversial markers exist one by one;

[0136] In this embodiment, a current image of the consensus marker or the disputed marker is obtained in the current real scene model according to the coordinates of the consensus marker or the disputed marker, and a historical image of the disputed marker or the disputed marker is obtained in the corresponding historical real scene model;

[0137] When the consensus marker or disputed marker in the current image is consistent with the consensus marker or disputed marker in the historical image, it is judged that the consensus marker or disputed marker exists. This process can be judged manually, or the current image and historical image with the same coordinates can be input into a specially trained neural network model for judgment.

[0138] S45: If yes, mark the current reality model and use the consensus marker as the current marker; if no, obtain a new consensus marker or a new disputed marker based on the coordinates of the consensus marker or the disputed marker;

[0139] When a consensus marker exists in the current real-scene model, the consensus marker is directly marked in the current real-scene model as the current marker; when a consensus marker does not exist in the current real-scene model, a new consensus marker is obtained in the current real-scene model based on the coordinates of the consensus marker and marked; when a disputed marker exists in the current real-scene model, the disputed marker is marked in the current real-scene model; when a disputed marker does not exist in the current real-scene model, a new disputed marker is obtained based on the coordinates of the disputed marker and marked in the current real-scene model;

[0140] S46: displaying the new consensus marker, the disputed marker, and the new disputed marker in the current reality model for confirmation by each related party, and collecting confirmation information from each related party;

[0141] In this embodiment, the direct marker in step S45 is a consensus marker of the current marker, and there is no need for reconfirmation by the related parties, thereby reducing the workload of the related parties.

[0142] The new consensus marker, the disputed marker and the newly disputed marker all need to be reconfirmed by all related parties; because the difficulty of confirmation gradually increases, in this embodiment, the new consensus marker, the disputed marker and the newly disputed marker are confirmed in turn.

[0143] In this embodiment, the new consensus marker, the controversial marker and the newly controversial marker are all provided with corresponding marker labels; for example, the marker label of the new consensus marker is NGBJ, the marker label of the controversial marker is ZBJ; the label of the newly controversial marker is NZBJ.

[0144] In this embodiment, when displaying new consensus markers, disputed markers and new disputed markers, the display real scene model also displays the type, coordinates, image, marking source, marker label and corresponding related parties that need to be confirmed.

[0145] Each related party confirms the new consensus marker, disputed marker and new disputed marker on its own user terminal; the confirmation information of the new consensus marker, disputed marker and new disputed marker includes "approval" or "disapproval".

[0146] S47: Based on the confirmation information of each related party, confirm the current marker among the new consensus marker, the disputed marker and the new disputed marker.

[0147] In this embodiment, when the confirmation information of the new consensus marker, the disputed marker or the newly disputed marker in the corresponding associated parties is "approved", the new consensus marker, the disputed marker or the newly disputed marker is marked as a current marker;

[0148] When the confirmation information of a new consensus marker, a disputed marker or a newly disputed marker in the corresponding related parties is "disapproved", the new consensus marker, the disputed marker or the newly disputed marker shall be deleted.

[0149] In this embodiment, based on a number of current markers, the current forest rights boundary and a number of boundary points are obtained, including:

[0150] S51: In the current real scene model, number and connect each current marker to obtain the current forest right boundary, and obtain the boundary parameters at each current marker; the boundary parameters include the number and coordinates of the current marker;

[0151] In this embodiment, in the current real scene model, each current marker is numbered in a clockwise direction, and lines are connected in sequence according to the numbers to obtain the current forest right boundary.

[0152] S52: Based on the boundary parameters of each current marker, identify a plurality of boundary points in a plurality of current markers.

[0153] In this embodiment, during the forest rights survey, the scope of the target forest area is relatively large, and the number of current markers on the current forest rights boundary will be relatively large, which is inconvenient for recording and on-site arrangement; therefore, some representatives are selected from several current markers as boundary points, so the number of boundary points is not more than the number of current markers.

[0154] In this embodiment, the confirmation process of several boundary points is as follows:

[0155] SS1: randomly obtain a current marker;

[0156] SS2: Get the numbers and coordinates of two adjacent current markers based on the number of the current marker;

[0157] SS3: Based on the coordinates of the current marker and the coordinates of the two adjacent current markers, obtain the space angle and plane angle corresponding to the current marker;

[0158] In this embodiment, the plane angle is represented by the angle formed by the current current marker as the angle vertex and the two adjacent current markers on the horizontal coordinate system.

[0159] The spatial angle is expressed as the angle formed by the current marker as the angle vertex and its two adjacent current markers in the spatial coordinate system.

[0160] SS4: Determine whether the spatial angle and the plane angle meet the requirements of the boundary point, the boundary point requirements include that the plane angle is less than the first preset angle, or the spatial angle is less than the second preset angle; if yes, keep the current marker; if no, delete the current marker;

[0161] SS5: Get the number and coordinates of the next current marker and return to step SS2 until the last current marker;

[0162] SS6: After repeating steps SS1 to SS5 for a preset number of times, all remaining current markers are used as boundary points.

[0163] In this embodiment, by repeating steps SS1 to SS5, current markers that are not suitable as boundary points can be excluded as much as possible, thereby reducing the workload of boundary point confirmation. The preset number of times includes 3 times.

[0164] In some embodiments, after obtaining the boundary points, they are provided to the corresponding related parties for secondary confirmation, and the confirmed boundary points are registered.

[0165] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0166] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A forest rights investigation method based on three-dimensional real-scene modeling, characterized by: The method comprises: Based on the forest rights investigation request, obtain the basic forest area data of the target forest area; the forest rights investigation request includes the certification data of several related parties; the basic forest area data includes historical modeling data; Based on the historical modeling data and certification data of the target forest area, build a historical reality model and confirm the historical forest rights boundary; Based on the historical forest rights boundary, historical marking data is obtained; the historical marking data includes a number of historical markers, as well as the type, coordinates and image data of each historical marker; historical markers include consensus markers and disputed markers; Based on the historical marking data, current modeling data is obtained to build a current reality model, and a number of historical markers are confirmed one by one in the current reality model to obtain a number of current markers; Based on some current markers, obtain the current forest rights boundary and some boundary points.

2. A forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 1, characterized in that: Based on the forest rights survey request, obtain the basic data of the target forest area, including: Based on the certification data of each related party, obtain the scope of certification requirements for each related party and the effective date of the certification; Based on the scope of proof requirements and the effective time of proof for each related party, obtain the historical remote sensing images corresponding to each related party and the time nodes of the historical remote sensing images; The earliest historical remote sensing image at the time node is used as the reference remote sensing image, and the remaining historical remote sensing images of each related party are used as the remote sensing images to be compared; Compare each remote sensing image to be compared with the reference remote sensing image to obtain the difference between each remote sensing image to be compared and the reference remote sensing image; Acquire a reference remote sensing image and a remote sensing image to be compared that meets a preset difference condition as a target remote sensing image; The target remote sensing image and the auxiliary parameters of each target remote sensing image are used as historical modeling data.

3. A forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 2, characterized in that: Based on the historical modeling data and certification data of the target forest area, a historical reality model is constructed and the historical forest rights boundaries are confirmed, including: Based on each target remote sensing image of the target forest area and the corresponding auxiliary parameters, several historical real scene models of the target forest area are constructed, and a time node is marked for each historical real scene model; Based on the certification data corresponding to each time node, the historical forest rights boundaries are marked in the corresponding historical real-life model.

4. A forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 3, characterized in that: Based on historical forest rights boundaries, obtain historical marking data, including: Based on the historical forest rights boundary in each historical real scene model, obtaining boundary marker data corresponding to each historical real scene model; the boundary marker data includes type, coordinates and image data; Based on the boundary marker data corresponding to each historical real-life model, consensus markers and dispute markers are obtained as historical markers, and the time node and proof data source of each historical marker are marked.

5. The forest rights investigation method based on three-dimensional real-scene modeling according to claim 1 is characterized in that: Based on historical tag data, obtain current modeling data to build a current reality model, including: Confirm the target range of the target forest area based on historical markers; the target range includes the coordinates of consensus markers and disputed markers; According to the target range of the target forest area, obtain the current remote sensing image of the target forest area and auxiliary parameters of the current remote sensing image; Based on the current remote sensing images and their auxiliary parameters, a current real-life model of the target forest area is constructed.

6. A forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 5, characterized in that: In the current reality model, several historical markers are confirmed one by one to obtain several current markers, including: Based on the current reality model, determine whether consensus markers or controversial markers exist one by one; If yes, mark it in the current reality model and use the consensus marker as the current marker; if no, obtain a new consensus marker or a new disputed marker based on the coordinates of the consensus marker or the disputed marker; Displaying new consensus markers, disputed markers and new disputed markers in the current reality model for confirmation by each related party, and collecting confirmation information from each related party; Based on the confirmation information from various related parties, the current markers are confirmed among the new consensus markers, controversial markers and newly controversial markers.

7. The forest rights investigation method based on three-dimensional real-scene modeling according to claim 1 is characterized in that: Based on several current markers, obtain the current forest rights boundaries and several boundary points, including: In the current real-scene model, each current marker is numbered and connected to obtain the current forest right boundary, and the boundary parameters at each current marker are obtained; the boundary parameters include the number and coordinates of the current marker; Based on the boundary parameters of each current marker, a plurality of boundary points are identified in the plurality of current markers.

8. A forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 7, characterized in that: Based on the boundary parameters of each current marker, a number of boundary points are identified in a number of current markers, including: SS1: randomly obtain a current marker; SS2: Get the numbers and coordinates of two adjacent current markers based on the number of the current marker; SS3: Based on the coordinates of the current marker and the coordinates of the two adjacent current markers, obtain the space angle and plane angle corresponding to the current marker; SS4: Determine whether the spatial angle and the plane angle meet the requirements of the boundary point, the boundary point requirements include that the plane angle is less than the first preset angle, or the spatial angle is less than the second preset angle; if yes, keep the current marker; if no, delete the current marker; SS5: Get the number and coordinates of the next current marker and return to step SS2 until the last current marker; SS6: After repeating steps SS1 to SS5 for a preset number of times, all remaining current markers are used as boundary points.

9. The forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 4, characterized in that: Based on the historical forest rights boundary in each historical real scene model, the boundary marker data corresponding to each historical real scene model is obtained, including: Acquire a number of candidate markers along each historical forest right boundary in the historical reality model, and image data of each candidate marker; Identify the image data of each marker to be selected to obtain marker information; the marker information includes the type, color and size data of the marker; Determine whether the marker information of each marker to be selected meets the preset marker conditions; the preset marker conditions include that the type of the marker is a preset type, the color of the marker is a preset color, and the size data of the marker is not less than a preset size; If so, the candidate marker is used as the boundary marker.

10. A forest rights investigation method based on three-dimensional real-scene modeling as claimed in claim 9, characterized in that: Based on the boundary marker data corresponding to each historical reality model, consensus markers and disputed markers are obtained, including: The boundary markers that exist on each historical forest right boundary in each historical real-life model are regarded as consensus markers, and the remaining boundary markers are regarded as disputed markers.

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