Automatic bridges recognition in medium resolution SAR images based on multi-scale feature analysis

Dong Yin; Feng Zhang; Xin Chen; Bin Cheng

doi:10.1117/12.749562

15 November 2007 Automatic bridges recognition in medium resolution SAR images based on multi-scale feature analysis

Dong Yin, Feng Zhang, Xin Chen, Bin Cheng

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864Q (2007) https://doi.org/10.1117/12.749562
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Dong Yin, Feng Zhang, Xin Chen, and Bin Cheng "Automatic bridges recognition in medium resolution SAR images based on multi-scale feature analysis", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864Q (15 November 2007); https://doi.org/10.1117/12.749562

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