ADAPTIVE RIVER SEGMENTATION IN SAR IMAGES  

作　　者：Zhang Lili Zhang Yanning Wang Min Li Ying 

机构地区：[1]School of Computer Science, Northwestern Polytechnical University, Xi＇an 710072, China

出　　处：《Journal of Electronics(China)》2009年第4期438-442,共5页电子科学学刊（英文版）

基　　金：Support by the National Natural Science Foundation of China (NSFC) (No.60472072);the Specialized Research Foundation for the Doctoral Program of Higher Education (No.20040699034);the Aeronautical Science Foundation of China (No.05I53076);the Yellow River Conser-vancy Commission (YRCC) Research on ecological im-provement of the Yellow River (No.2004SZ01-04)

摘　　要：There is difficulty for distinguishing of river and shadow in Synthetic Aperture Radar (SAR) images. A method of river segmentation in SAR images based on wavelet energy and gradient is proposed in this paper. It mainly includes two algorithms: coarse segmentation and refined segmen- tation. Firstly, The river regions are coarsely segmented by the wavelet energy feature,and then refined segmented accurately by the gradient threshold which is got adaptively. The experimental results show the validity of the method, which provides a good foundation for targets detection above the river.There is difficulty for distinguishing of river and shadow in Synthetic Aperture Radar （SAR） images. A method of river segmentation in SAR images based on wavelet energy and gradient is proposed in this paper. It mainly includes two algorithms： coarse segmentation and refined segmentation. Firstly, The river regions are coarsely segmented by the wavelet energy feature, and then refined segmented accurately by the gradient threshold which is got adaptively. The experimental results show the validity of the method, which provides a good foundation for targets detection above the river.

关 键 词：Synthetic Aperture Radar （SAR） image River segmentation Wavelet energy GRADIENT 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN958[自动化与计算机技术—计算机科学与技术]