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.