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Proceedings Paper

Automatic bridges recognition in medium resolution SAR images based on multi-scale feature analysis
Author(s): Dong Yin; Feng Zhang; Xin Chen; Bin Cheng
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Paper Abstract

This paper handles with the problem of bridge recognition in Synthetic Aperture Radar (SAR) images. Based on features analysis of bridges, rivers and land in different spatial resolution SAR images, a method of multi-scale analysis is proposed. Firstly, for preventing noise, filtering the original medium resolution image is performed. And the image will be down-sampled to ten times. Secondly, rivers will be extracted automatically by dynamic programming in low resolution level and the bridge candidates' position will be obtained by apices locating. Finally, the mapped image will be cut out to become regions of interest (ROI). And the bridge target regions will be detected by using constant false alarm rate (CFAR). The example results indicate that the processing speed for bridge recognition can be greatly improved and the precision of recognition can also be ensured.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864Q (15 November 2007); doi: 10.1117/12.749562
Show Author Affiliations
Dong Yin, Univ. of Science and Technology of China (China)
Feng Zhang, Univ. of Science and Technology of China (China)
Xin Chen, Univ. of Science and Technology of China (China)
Bin Cheng, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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