MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data

Accurate detection of individual tree crowns is a critical prerequisite for precisely extracting forest structural parameters, which is vital for forestry resources monitoring. While unmanned aerial vehicle (UAV)-acquired RGB imagery, combined with deep learning-based networks, has demonstrated cons...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Heng Zhang, Can Yang, Xijian Fan
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	feature fusion tree detection UAV remote sensing canopy height model
Online Access:	https://www.mdpi.com/2072-4292/17/12/1996