Random Forest Method for Dimension Reduction and Point Cloud Classification Based on Airborne LiDAR

Random Forest Method for Dimension Reduction and Point Cloud Classification Based on Airborne LiDAR

Exploring automatic point cloud classification method is of great importance to 3D modeling,city land classification,DEM mapping and etc.To overcome the problem that extracting geometric feature for point cloud classification involved neighbor structure meets the challenge that the optimal neighbor...

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Bibliographic Details
Main Authors: XIONG Yan, GAO Renqiang, XU Zhanya
Format: Article
Language:zho
Published: Surveying and Mapping Press 2018-04-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
LiDAR
feature selection
point cloud classification
random forest
Online Access:http://html.rhhz.net/CHXB/html/2018-4-508.htm

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http://html.rhhz.net/CHXB/html/2018-4-508.htm

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