Evaluation of Smoothing Filters Suppressing Speckle Noise on SAR Images
星载SAR图象斑点噪声消除方法效果的比较研究

Synthehc Aperture Radar (SAR) images are usually corrupted by speckle noise. In order to suppress the speclde noise and improve interpretation of the radar images, smoothing filters have been proposed in the literature. Among them, the most popular are used. Several types of filters are: the average filter, the median filter, the Frost adaptive filter, the tee adaptive filter. Recently, Rao et al. (1995) proposed a new method called the modified K-value adaptive filter. This paper is an intercomparison study of these filters using ERS-1 SAR data of the Washita area in Okalahoma, United States acquired on June 10,1992. Summaries of these filters are given. Results of applying these filters to the data are evaluated with two quantitative measures. Based on the intercomparison, the most appropriate filter of SAR image speckle noise in this study was the modified K-value adaptive filter.