DocumentCode :
1990855
Title :
Quality Evaluation of Spatial Point-Cloud Data Collected by Vehicle-Borne Laser Scanner
Author :
Feng, Jiaxiang ; Zhong, Ruofei ; Yang, Yong ; Zhao, Wenji
Author_Institution :
Key Lab. of Three Dimension Inf. Acquisition & Applic. MOE, Capital Normal Univ., Beijing
Volume :
2
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
320
Lastpage :
323
Abstract :
Vehicle-borne laser scanning is used to collect urban street and building data for various modeling and mapping applications. The quality of laser point-cloud data is important for regenerating 3D urban street scene. Quality evaluation includes spatial structure analysis and positioning accuracy analysis. In spatial structure analysis, we evaluate the quality of point-cloud data high or low by analyzing the objectspsila spatial structure projection at each of the three coordinate axis. In positioning accuracy analysis, comparing sign pointspsila 3D coordinates collected by laser scanner with the precise coordinates collected by Total Station, we get the point-cloudspsila positioning accuracy. A new sign point was also designed to overcome the difficulty of extracting sign points coordinates from point cloud data. After the evaluation, we make a suggestion about how to improve the data quality.
Keywords :
optical radar; optical scanners; remote sensing by radar; 3D urban street scene; Total Station; data quality; positioning accuracy analysis; quality evaluation; spatial point-cloud data; spatial structure analysis; spatial structure projection; vehicle-borne laser scanner; Buildings; Clouds; Data mining; Educational technology; Geometry; Geoscience and remote sensing; Global Positioning System; Laser modes; Laser radar; Layout; LiDAR; accuracy; laser scanner; point cloud; quality evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
Type :
conf
DOI :
10.1109/ETTandGRS.2008.97
Filename :
5070370
Link To Document :
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