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.