A novel algorithm based on geometric characteristics for tree branch skeleton extraction from lidar point cloud

HIGHLIGHTS

  • who: Jie Yang and colleagues from the Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University have published the research work: A Novel Algorithm Based on Geometric Characteristics for Tree Branch Skeleton Extraction from LiDAR Point Cloud, in the Journal: Forests 2022, 13, 1534. of /2022/
  • what: In this research, DBSCAN produced unreasonable clustering, resulting in the wrong topology, which is described in detail later. The aim of this method is only to distribute tasks to different threads without changing tasks that the iterative ISTTWN algorithm determines, so the skeleton produced . . .

     

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