Water Extraction in SAR Images Using GLCM and Support Vector Machine

摘要：

Traditional methods to extract water regions in SAR images usually rely on image binarization with a specified threshold. However, because of the inherent speckles in SAR images, finding an appropriate threshold is very difficult. In the paper, we propose a new method for water region extraction in SAR images using GLCM (gray-level co-occurrence matrix) based features combined with SVM (Supported vector Machine). The characteristics of water and non-water regions are distinctively depicted by GLCM based features, which are fed into the SVM classifier to extract water regions. Experiments on synthetic and real SAR images demonstrate that the proposed method achieves better results compared with two other ones.

关键词： GLCM (Gray Level Co-occurrence Matrix) SAR (Synthetic Aperture Radar) SVM (Support Vector Machine) Water Extraction

作者: WENTAO-LV QIUZE-YU WENXIAN-YU

作者单位: Research Center for Spatial Information Technology and Application, Dept.of Electronic Engineering, Shanghai JiaoTong University, Shanghai 200240, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 740-743

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）