研究一种能保持边缘的星载 SAR图像相干斑噪声滤除方法 .常规滤波算法在滤除噪声的同时也带来了图像边缘模糊问题 ,利用多种检测图像边缘算法的有机组合 ,首先提取出图像边缘 ,然后将边缘从图像中剔除 ,对剩下的无边缘噪声图像用改进 L ee滤波法进行噪声抑制 ,再把边缘图像加入 ,最后得到了能保持边缘的 SAR图像相干斑滤除图像 .用实际数据进行检验 ,并和常规方法得到的结果比较 ,验证了本算法的有效性 This paper studies a edge-preserving SAR image speckle noise filtering method, which not only filters out noise but also brings about the image edge blurring problem. With the combination of multiple edge detection algorithms, firstly, Then the edge is removed from the image. The remaining edge-noisy images are denoised by the improved Lee filter, and then the edge image is added. Finally, the coherent-speckle image of edge-preserving SAR images is obtained. Using the actual data to test, and compared with the results obtained by the conventional method, the effectiveness of this algorithm is verified