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Proceedings Paper

Building detection based on saliency for high resolution satellite images
Author(s): Ping Yang; Zhiguo Jiang; Hao Feng; Yibing Ma
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Paper Abstract

For building detection from single very high spatial resolution (VHR) satellite images, we take advantage of visual saliency and Bayesian model to rapidly locate roof-top areas. We firstly generate saliency map of an image by a salient contrast filter using low-level feature. This filter distinguishes salient pixels if a pixel is visually different from its surroundings in color or texture. Secondly, a Bayesian model is proposed to generate all closed rectangular contours as mid-level content in the image. We suggest the area enclosed by contour corresponds to high saliency values. Finally, the roof-top areas are extracted by fusing different level information mentioned above. Experimental results demonstrate the effectiveness of our algorithm.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180D (26 October 2013); doi: 10.1117/12.2032154
Show Author Affiliations
Ping Yang, Beihang Univ. (China)
Zhiguo Jiang, Beihang Univ. (China)
Hao Feng, Beihang Univ. (China)
Yibing Ma, Beihang Univ. (China)

Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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