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A clustering-based automatic registration of UAV and terrestrial LiDAR forest point clouds

  • Published:2024-02 Issue: Volume:217 Page:108648
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Junhua,Zhao Dan,Zheng Zhaoju,Xu Cong,Pang Yong,Zeng Yuan

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference31 articles.

1. A pipeline for trunk detection in trellis structured apple orchards;Bargoti;J. Field Robot.,2015

2. Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LiDAR;Brede;Remote Sens. Environ.,2019

3. Terrestrial laser scanning in forest ecology: expanding the horizon;Calders;Remote Sens. Environ.,2020

4. Applicability of personal laser scanning in forestry inventory;Chen;PLoS One,2019

5. Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms;Dai;Int. J. Appl. Earth Obs. Geoinf.,2022

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