Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

Accurate quantification of individual tree parameters is vital for precise forest inventory and sustainable forest management. However, in dense forests, terrestrial laser scanning (TLS), which can provide accurate and detailed forest structural measurements, is limited to capturing the complete tre...

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Bibliographic Details
Main Authors: Yuting Zhao, Jungho Im, Zhen Zhen, Yinghui Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:GIScience & Remote Sensing
Subjects:
tls
uls
registration
coarse-to-fine
optimized icp
Online Access:http://dx.doi.org/10.1080/15481603.2023.2197281

Internet

http://dx.doi.org/10.1080/15481603.2023.2197281

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