Geometric active contour based approach for segmentation of high-resolution spaceborne SAR images  

作　　者：Shaoming Zhang Fang He Yunling Zhang Jianmei Wang Xiao Mei Tiantian Feng 

机构地区：[1]College of Surveying, Mapping and Geo-Informatics, Tongji University [2]Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

出　　处：《Journal of Systems Engineering and Electronics》2015年第1期69-76,共8页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(41171327;41301361);the National Key Basic Research Program of China(973 Program)(2012CB719903);the Science and Technology Project of Ministry of Transport of People’s Republic of China(2012-364-X11-803);the Shanghai Municipal Natural Science Foundation(12ZR1433200)

摘　　要：Segmentation is the key step in auto-interpretation of high-resolution spaceborne synthetic aperture radar（SAR） images. A novel method is proposed based on integrating the geometric active contour（GAC） and the support vector machine（SVM）models. First, the images are segmented by using SVM and textural statistics. A likelihood measurement for every pixel is derived by using the initial segmentation. The Chan-Vese model then is modified by adding two items： the likelihood and the distance between the initial segmentation and the evolving contour. Experimental results using real SAR images demonstrate the good performance of the proposed method compared to several classic GAC models.Segmentation is the key step in auto-interpretation of high-resolution spaceborne synthetic aperture radar（SAR） images. A novel method is proposed based on integrating the geometric active contour（GAC） and the support vector machine（SVM）models. First, the images are segmented by using SVM and textural statistics. A likelihood measurement for every pixel is derived by using the initial segmentation. The Chan-Vese model then is modified by adding two items： the likelihood and the distance between the initial segmentation and the evolving contour. Experimental results using real SAR images demonstrate the good performance of the proposed method compared to several classic GAC models.

关 键 词：image segmentation synthetic aperture radar（SAR） imagery support vector machine（SVM） geometric active contour（GAC） 

分 类 号：TN957.52[电子电信—信号与信息处理]