A Deep Learning-Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest

A Deep Learning-Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest

The use of 3D point cloud-based technology for quantifying standing wood and stand parameters can play a key role in forestry ecological benefit assessment and standing tree cultivation and utilization. With the advance of 3D information acquisition techniques, such as light detection and ranging (L...

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Bibliographic Details
Main Authors: Xingyu Shen, Qingqing Huang, Xin Wang, Jiang Li, Benye Xi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
deep learning
semantic segmentation
extraction of tree feature information
TLS LiDAR data
artificially planted forest
Online Access:https://www.mdpi.com/2072-4292/14/15/3842

Internet

https://www.mdpi.com/2072-4292/14/15/3842

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