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Proceedings Paper

Model-based bridge recognition in high resolution SAR image
Author(s): Deli Pei; Fuchun Sun; Hongqiao Wang; Ning Chen
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Paper Abstract

A new bridge recognition method in Synthetic Aperture Radar (SAR) image using bridge model and SVM is presented in this paper. Firstly, water region is extracted from original SAR image by self-adapt segmentation and mathematic morphological method. Then based on bridge model, the bridge candidates in water region can be found out and their texture feature can also be extracted.Finally, with the usage of SVM, whether these objects are bridges or not can be identified and the real bridges can be mark ed in the SAR image, as well as the corresponding information such as position. Experiment results show that, with the help of water region segmentation and bridge model, the efficiency of the algorithm is greatly promoted, meanwhile, the recognition accuracy is guaranteed by high quality classifier of SVM.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749521 (30 October 2009); doi: 10.1117/12.833028
Show Author Affiliations
Deli Pei, Tsinghua Univ. (China)
Fuchun Sun, Tsinghua Univ. (China)
Hongqiao Wang, Tsinghua Univ. (China)
Xi'an Research Institute of High Technology (China)
Ning Chen, Tsinghua Univ. (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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