Evaluation of data subsampling and neighbourhood selection for mobile LiDAR data classification

Evaluation of data subsampling and neighbourhood selection for mobile LiDAR data classification

Road features extraction is essential for autonomous driving vehicles and road maintenance. Mobile Laser Scanning (MLS) systems have proven their capability for dense and accurate LiDAR point cloud data acquisition of road features. Usually, MLS data are received in the format of XYZ coordinates and...

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Bibliographic Details
Main Authors: Mahmoud Mohamed, Salem Morsy, Adel El-Shazly
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Mobile LiDAR scanning
Neighborhood selection
Sub-sampling
Classification
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982321000363

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http://www.sciencedirect.com/science/article/pii/S1110982321000363

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