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Proceedings Paper

Building outline extraction from airborne laser scanning data over urban areas
Author(s): Chengyi Wang; Jian Yang; Jingbo Chen
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Paper Abstract

Urban building extraction is an important research topic in urban studies. We present a three-step method to detect the outline of buildings, Firstly, DEM (Digital Elevation Model) is separate from DSM (Digital Surface Model), in our algorithm, and surface based method is adopted. The second step is to classify buildings and other off-terrain objects. Texture characters are selected to classify them. Four parameters (Contrast, Energy, Entropy, and Homogeneity) are defined to describe textures. Rough set method is used to distinguish between buildings and non-buildings based on knowledge gained from training data. Finally, we convert images which buildings are detected to polygons, building outlines are obtained. The data set we use in this paper is located in Ada County of Idaho State, USA. Experiments show building detection rate with our method is more than 85%. It shows the method adopted in this paper is feasible.

Paper Details

Date Published: 30 October 2009
PDF: 9 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951T (30 October 2009); doi: 10.1117/12.832907
Show Author Affiliations
Chengyi Wang, Institute of Remote Sensing Applications (China)
Jian Yang, Institute of Remote Sensing Applications (China)
Jingbo Chen, Institute of Remote Sensing Applications (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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