Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data

Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data

Forest tree information is crucial for monitoring forest resources and developing forestry management strategies. Airborne laser scanning is an efficient and rapid method for acquiring 3-D point cloud data of forests, making up for the shortcomings of optical remote sensing. Especially for unmanned...

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Bibliographic Details
Main Authors: Shihua Li, Shunda Zhao, Zhilin Tian, Hao Tang, Zhonghua Su
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Density
individual tree segmentation
morphology
region growing
unmanned aerial vehicle (UAV) light detection and ranging (LiDAR)
Online Access:https://ieeexplore.ieee.org/document/10907937/
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https://ieeexplore.ieee.org/document/10907937/

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