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Fast tree skeleton extraction using voxel thinning based on tree point cloud
In this paper, an automatic and fast tree skeleton extraction method (FTSEM) based on voxel thinning is proposed.
Wood-leaf classification of tree point cloud based on intensity and geometrical information
Tree point cloud was classified into wood points and leaf points by using intensity threshold, neighborhood density and voxelization successively.
Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
The point cloud data of ten trees were tested by using the proposed method and a manual selection method.
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