Comparison of Ground Point Filtering Algorithms for High-Density Point Clouds Collected by Terrestrial LiDAR

Comparison of Ground Point Filtering Algorithms for High-Density Point Clouds Collected by Terrestrial LiDAR

Terrestrial LiDAR (light detection and ranging) has been used to quantify micro-topographic changes using high-density 3D point clouds in which extracting the ground surface is susceptible to off-terrain (OT) points. Various filtering algorithms are available in classifying ground and OT points, but...

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Bibliographic Details
Main Authors: Gene Bailey, Yingkui Li, Nathan McKinney, Daniel Yoder, Wesley Wright, Hannah Herrero
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
terrestrial LiDAR
point cloud classification
cloth simulation filter
modified slope-based filter
random forest classifier
micro-topographic change detection
Online Access:https://www.mdpi.com/2072-4292/14/19/4776

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https://www.mdpi.com/2072-4292/14/19/4776

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