Individual tree detection and segmentation from unmanned aerial vehicle-LiDAR data based on a trunk point distribution indicator-Reference-Cited by-同舟云学术

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Individual tree detection and segmentation from unmanned aerial vehicle-LiDAR data based on a trunk point distribution indicator

Published:2024-03 Issue: Volume:218 Page:108717
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Deng Susu,Xu Qi,Yue Yuanzheng,Jing Sishuo,Wang Yixiang

Funder

National Key Research and Development Program of China

Overseas Expertise Introduction Project for Discipline Innovation

Zhejiang Province Natural Science Foundation

Key Research and Development Program of Zhejiang Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference37 articles.

1. Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds;Ayrey;Can. J. Remote Sens.,2017

2. Isolating individual trees in a savanna woodland using small footprint lidar data;Chen;Photogramm. Eng. Remote Sens.,2006

3. Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds;Dersch;ISPRS J. Photogramm.,2021

4. Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences;Eitel;Remote Sens. Environ.,2016

5. Segmenting Individual Tree from TLS Point Clouds Using Improved DBSCAN;Fu;Forests,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of an Adaptive Height Control System for Sugarcane Harvester Header;Agronomy;2024-07-26

2. A Hybrid Method for Individual Tree Detection in Broadleaf Forests Based on UAV-LiDAR Data and Multistage 3D Structure Analysis;Forests;2024-06-17

3. A Tree Crown Edge-Aware Clipping Algorithm for Airborne Lidar Point Clouds;2024

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