Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification

Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification

Accurately classifying tree species in urban forests remains a major challenge due to the limitations of existing methods. While hyperspectral imaging is capable of capturing detailed spectral information, it struggles with the issue of ‘similar reflectance curves for different species&am...

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Bibliographic Details
Main Authors: Yulin Gong, Di'en Zhu, Xuejian Li, Lujin Lv, Bo Zhang, Jie Xuan, Huaqiang Du
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hyperspectral
light detection and ranging (LiDAR)
mask R-convolutional neural networks (CNN)
tree species classification
Online Access:https://ieeexplore.ieee.org/document/10286301/

Internet

https://ieeexplore.ieee.org/document/10286301/

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