Robust Segmentation for Large Volumes of Laser Scanning Three-Dimensional Point Cloud Data

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Robust Segmentation for Large Volumes of Laser Scanning Three-Dimensional Point Cloud Data

This paper investigates the problems of outliers and/or noise in surface segmentation and proposes a statistically robust segmentation algorithm for laser scanning 3-D point cloud data. Principal component analysis (PCA)-based local saliency features, e.g., normal and curvature, have been frequently...

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Bibliographic Details
Main Authors:	Nurunnabi, Abdul, Belton, David, West, Geoff
Format:	Journal Article
Published:	IEEE Geoscience and Remote Sensing Society 2016
Online Access:	http://hdl.handle.net/20.500.11937/63211

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