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Proceedings Paper

An automatic method of building extraction from high resolution satellite images
Author(s): Xianwei Han; Yili Fu; Zhiqiang Qin; Kun Xing
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Paper Abstract

In this paper, we propose a novel framework of building extraction from high resolution satellite remote sensing images. This approach combines regional information with edge features, which could avoid the limitations of traditional methods. Firstly, the irrelevant regions are filtered out from large images by extracting texture features, leaving buildings distributed in the remaining urban areas. Secondly, boundaries of objects are extracted and all the contours are tracked through the chain code method we developed. Finally, the short straight lines are linked to construct contours and extract rectangular building rooftops. Experiments show that this extraction strategy is robust and effective.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749540 (30 October 2009); doi: 10.1117/12.832599
Show Author Affiliations
Xianwei Han, Harbin Institute of Technology (China)
Yili Fu, Harbin Institute of Technology (China)
Zhiqiang Qin, Harbin Institute of Technology (China)
Kun Xing, Harbin Institute of Technology (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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