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《Surveying and Mapping of Geology and Mineral Resources》 2018-01
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A Fast Isolated Noise Detection Method for Single Station Point Cloud in Terrestrial Laser Scanning

YIN Yi-cheng;SHI Hong-bin;WANG Li-hua;Surveying and Mapping Engineering Institute of Yunnan Province;School of Urban-Rural Planning and Landscape Architecture,Xuchang University;  
This paper proposed an isolated noise detection method for single station point cloud in terrestrial laser scanning based on occluding edge detection. The method firstly calculated the distances between the non-null point and its neighbors in 2 D raster structure determined by the single station; Then the occluding points were determined by the threshold and clustered in 3 D space; Finally the isolated noise sets were determined by the predefined number of the set.The experiment shows that the method proposed in this paper can determine the noise sets in single station point cloud fast and efficiently.
【Fund】: 河南省高等学校重点科研项目(1713420001);; 河南省科技攻关项目(182102310924)
【CateGory Index】: P225.2
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