Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data

Recent growth in unmanned aerial vehicle (UAV) technology have promoted the detailed mapping of individual tree species. However, the in-depth mining and comprehending of the significance of features derived from high-resolution UAV data for tree species discrimination remains a difficult task. In t...

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Autori principali:	Ying Quan, Mingze Li, Yuanshuo Hao, Jianyang Liu, Bin Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2023-12-01
Serie:	GIScience & Remote Sensing
Soggetti:	unmanned aerial vehicle (uav) light detection and ranging (lidar) hyperspectral imaging tree species classification feature selection
Accesso online:	http://dx.doi.org/10.1080/15481603.2023.2171706
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