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Proceedings Paper

An extraction method for interested buildings using lidar point clouds data
Author(s): Mei Zhou; Ling-li Tang; Chuan-rong Li; Bing Xia
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Paper Abstract

LiDAR (Light Detection and Ranging) is an active remote sensing technique for acquiring spatial information. It can quickly acquire three-dimensional (3D) geographic coordinate information of ground surface and ground targets, and has typical advantage in such applications as urban planning, 3D modeling, disaster assessment, etc. This paper presents an extraction method for interested buildings using three-dimensional laser point cloud data which are filtered and organized by the kd tree. First, the algorithm determines candidate points of a building from non-ground points and clusters them on the constraints of distance so that single building target can be segmented. Second, for each segmented building target, the algorithm extracts its edge points and regularizes its edge. The extracted building feature information is provided for quickly searching target of interest. At last, the method is proved to be effective based on the analysis of measured data. The method is no point cloud interpolation error, and is not affected by the size or shape of a building.

Paper Details

Date Published: 24 October 2011
PDF: 8 pages
Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82860N (24 October 2011); doi: 10.1117/12.912531
Show Author Affiliations
Mei Zhou, Academy of Opto-Electronics (China)
Ling-li Tang, Academy of Opto-Electronics (China)
Chuan-rong Li, Academy of Opto-Electronics (China)
Bing Xia, Academy of Opto-Electronics (China)

Published in SPIE Proceedings Vol. 8286:
International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications
Jonathan Li, Editor(s)

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