Method for automatically reconstructing tree structure from ground-based laser radar point cloud
A lidar and tree technology, applied in the field of tree reconstruction, can solve the problems of wrong topological connection of branches and trunks, incomplete structure, loss of tree crown information, etc., and achieve the effect of high geometric accuracy and topological fidelity
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[0036] A method for automatically reconstructing tree branch structures based on ground-based laser radar point clouds, the specific implementation method is:
[0037] 1. Filter and denoise the original input point cloud. The improved asymptotically encrypted triangulation filter algorithm is used to classify ground points, the digital terrain model is established through irregular triangulation interpolation algorithm, the normalization of sample point clouds is completed, and the single tree segmentation method is used to obtain single tree instances.
[0038] 2. Enter the single wood point cloud as input data into the model.
[0039] 3. Process the input point cloud of a tree based on the Delaunay triangulation of Delaunay, and find the Minimum Spanning Tree (MST) between the edges of the Delaunay triangulation of the points.
[0040] 4. Extract the initialization skeleton of a single tree. After getting the triangulation graph, all edges are weighted using the lengths of...
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