边缘检测是SAR图像解译的基本问题之一。固有的乘性噪声特性使得经典的梯度边缘检测方法并不适用于SAR图像,因此研究针对SAR图像的边缘检测方法具有重要的意义。本文对SAR图像边缘检测问题进行了系统的研究,简单描述了SAR图像边缘检测问题,讨论了现有的SAR图像边缘检测方法,总结了SAR图像边缘检测中存在的两个问题——边缘细化和边缘定位,对检测结果的性能评估方法也进行了概括。最后在总结现有研究成果的基础上展望了SAR图像边缘检测的发展方向。

Edge detection is a fundamental issue in synthetic aperture radar(SAR)image interpretation.The multiplicative noise makes edge detection in SAR image extremely difficult,and the typical edge detectors based on gradients are inefficient when applied to SAR images.So developing edge detectors especially for SAR image is of great importance.This paper investigates the problem of edge detection for SAR images comprehensively and thoroughly.It first describes the problem of edge detection for SAR images,and then discusses several well-known edge detection methods and two key points in SAR image edge detection-edge thinning and localization.To evaluate edge detector quantitatively,some performance criteria are summarized.In the end of this paper,conclusions are made and the possible future work is explained.