Classification of Laser Footprint Based on Random Forest in Mountainous Area Using GLAS Full-Waveform Features

Classification of Laser Footprint Based on Random Forest in Mountainous Area Using GLAS Full-Waveform Features

Full-waveform spaceborne laser altimeter can provide more characteristic parameters of the laser footprint and rich vertical structure information on the target surface. This technology has the potential for land-cover classification, especially in hard-to-reach mountain areas. Classifying the land...

Full description

Bibliographic Details
Main Authors: Xiangfeng Liu, Xiaodan Liu, Zhenhua Wang, Genghua Huang, Rong Shu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Classification
full-waveform
Gaussian decomposition
laser footprint
random forest (RF)
spaceborne laser altimeter
Online Access:https://ieeexplore.ieee.org/document/9713978/

Internet

https://ieeexplore.ieee.org/document/9713978/

Similar Items