Deeply supervised network for airborne LiDAR tree classification incorporating dual attention mechanisms

Accurately identifying tree species is crucial in digital forestry. Several airborne LiDAR-based classification frameworks have been proposed to facilitate work in this area, and they have achieved impressive results. These models range from the classification of characterization parameters based on...

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Bibliographic Details

Published in:	GIScience & Remote Sensing
Main Authors:	Zhenyu Zhang, Jian Wang, Yunze Wu, Youlong Zhao, Binjie Wu
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Subjects:	Airborne LiDAR point cloud tree species classification deep learning attention mechanism
Online Access:	https://www.tandfonline.com/doi/10.1080/15481603.2024.2303866