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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
IEEE Geoscience and Remote Sensing Society
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/63211 |