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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Autori principali:	Gene Bailey, Yingkui Li, Nathan McKinney, Daniel Yoder, Wesley Wright, Hannah Herrero
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-09-01
Serie:	Remote Sensing
Soggetti:	terrestrial LiDAR point cloud classification cloth simulation filter modified slope-based filter random forest classifier micro-topographic change detection
Accesso online:	https://www.mdpi.com/2072-4292/14/19/4776
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