Model-based bridge recognition in high resolution SAR image

Deli Pei; Fuchun Sun; Hongqiao Wang; Ning Chen

doi:10.1117/12.833028

30 October 2009 Model-based bridge recognition in high resolution SAR image

Deli Pei, Fuchun Sun, Hongqiao Wang, Ning Chen

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749521 (2009) https://doi.org/10.1117/12.833028
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Deli Pei, Fuchun Sun, Hongqiao Wang, and Ning Chen "Model-based bridge recognition in high resolution SAR image", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749521 (30 October 2009); https://doi.org/10.1117/12.833028

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KEYWORDS

Bridges

Image segmentation

Synthetic aperture radar

Detection and tracking algorithms

Image filtering

Image resolution

Digital filtering

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