Feature selection for airborne LiDAR data filtering: a mutual information method with Parzon window optimization

Feature selection for airborne LiDAR data filtering: a mutual information method with Parzon window optimization

Filtering is one of the key steps for Digital Elevation Model (DEM) generation from airborne Light Detection and Ranging (LiDAR) data. Machine-learning-based filters have emerged as a class of filtering algorithms in recent years. Most existing studies mainly focus on feature generation due to limit...

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Bibliographic Details
Main Authors: Zhan Cai, Hongchao Ma, Liang Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2020-04-01
Series:GIScience & Remote Sensing
Subjects:
airborne lidar
feature selection
filtering
adaboost
mrmr
parzen window
Online Access:http://dx.doi.org/10.1080/15481603.2019.1695406

Internet

http://dx.doi.org/10.1080/15481603.2019.1695406

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