Synthetic aperture radar (SAR) image processing using different filters can produce different results for different parts of the image. Thus, specific applications require specific filters. In this study, we evaluated and compared the performance of several widely used filters, including the mean, median, Lee, Frost, Kuan, enhanced Lee, enhanced Frost, and gamma maximum a posteriori (MAP) filters, in suppressing speckle noise in GF-3 FSII images. We applied these filters to different images to determine the optimal filter and processing window size for different image parts, including strongly textured, homogeneous, and fringe areas. We found that the optimal filter for the strongly textured area was the Kuan filter (window size, 7 × 7). The optimal filters for homogeneous areas were the Kuan (7 × 7, 5 × 5, and 3 × 3), Lee (7 × 7), and mean filters (7 × 7). The optimal filters for fringe areas were the enhanced Lee (7 × 7 and 5 × 5) and enhanced Frost filters (7 × 7).

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