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...

Full description

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

Similar Items

Similar Items