关键词: 合成孔径雷达, 边缘检测, canny算子, 四点插值细分, 图像去噪

Abstract: In the light of contradiction of reducing speckle and effectively keeping details in speckle filtering for SAR images, this paper proposes a image denoising method of SAR（Synthetic Aperture Radar） image which is based on edge detection and four interpolation subdivision. The method firstly detects the edge of SAR image by canny operator, and then uses four interpolation subdivision to carry on image denoising and edge image denoising respectively. Then it carries on the reconstruction of the edges information in the edge region and gets a new denoising image. Finally, the experimental results are evaluated by two evaluation indexes including Equivalent Number of Looks（ENL） and Edge Save Index（ESI）. Experimental results show that the method proposed in this paper is a more effective method than classical method of image denoising and effectively realizes both denoising and edge preservation.

Key words: Synthetic Aperture Radar（SAR）, edge detection, canny operator, four interpolation subdivision, image denoising