An Improved Method for Single Tree Trunk Extraction Based on LiDAR Data

An Improved Method for Single Tree Trunk Extraction Based on LiDAR Data

Scanning forests with LiDAR is an efficient method for conducting forest resource surveys, including estimating tree diameter at breast height (DBH), canopy height, and segmenting individual trees. This study uses three-dimensional (3D) forest test data and point cloud data simulated by the Helios++...

Full description

Saved in:
Bibliographic Details
Main Authors: Jisheng Xia, Sunjie Ma, Guize Luan, Pinliang Dong, Rong Geng, Fuyan Zou, Junzhou Yin, Zhifang Zhao
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
LiDAR
vertical structure of forest
random sample consensus
light projection scene
Online Access:https://www.mdpi.com/2072-4292/17/7/1271
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2072-4292/17/7/1271

Similar Items