A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data

Light detection and ranging (LiDAR) holds considerable promise for tree species classification. Existing networks that utilize point clouds of individual trees have shown promising results. However, challenges, such as incomplete point cloud data, uneven point density across different components of...

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書誌詳細

出版年:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主要な著者:	Yaoting Liu, Yiming Chen, Zhengjun Liu, Jianchang Chen, Yuxuan Liu
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Deep learning light detection and ranging (LiDAR) multifeature fusion tree classifier network (MFFTC-Net) tree species classification
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10834575/