A spatial–spectral classification framework for multispectral LiDAR

A spatial–spectral classification framework for multispectral LiDAR

ABSTRACTPrecise classification of Light Detection and Ranging (LiDAR) point cloud is a fundamental process in various applications, such as land cover mapping, forestry management, and autonomous driving. Due to the lack of spectral information, the existing research on single wavelength LiDAR class...

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Bibliographic Details
Main Authors: Shuo Shi, Biwu Chen, Sifu Bi, Junkai Li, Wei Gong, Jia Sun, Bowen Chen, Lin Du, Jian Yang, Qian Xu, Fei Wang, Shalei Song
Format: Article
Language:English
Published: Taylor & Francis Group 2023-06-01
Series:Geo-spatial Information Science
Subjects:
multispectral Light Detection and Ranging (LiDAR)
point cloud classification
neighborhood selection
feature selection
condition random field
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2023.2208611

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2023.2208611

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