A novel method for ULS-TLS forest point cloud registration based on height context descriptor

• Published in: Forest ecosystems Vol. 14; p. 100369
• Main Authors: Dai, Xusong, Qi, Hanwen, Wang, Xiaochen, Xu, Yaozhan, Jiang, Qinghu, Zhang, Qingjun, Wang, Xu, Chen, Jianchang, Liu, Guangzu, Liang, Xinlian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2025
• Subjects: Ground points; Height context descriptor; Light detection and ranging (LiDAR); Registration; Terrestrial laser scanning (TLS); Unmanned aerial vehicle; Light detection and ranging (LiDAR); Ground points; Unmanned aerial vehicle; Registration; Height context descriptor; Terrestrial laser scanning (TLS)

Unmanned aerial vehicle laser scanning (ULS) and terrestrial laser scanning (TLS) systems are effective ways to capture forest structures from top and side views, respectively. The registration of TLS and ULS data is a prerequisite for a comprehensive forest structure representation. Conventional re...