A comparison of algorithms to suppress noise in GF-3 FSII SAR images

Dongping Zha; Yanqing Jin; Mingchuan Li; Ben Wang; Huili Liu; Zhan Shen

doi:10.1117/12.2668223

23 February 2023 A comparison of algorithms to suppress noise in GF-3 FSII SAR images

Dongping Zha, Yanqing Jin, Mingchuan Li, Ben Wang, Huili Liu, Zhan Shen

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125511E (2023) https://doi.org/10.1117/12.2668223
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

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).

Citation Download Citation

Dongping Zha, Yanqing Jin, Mingchuan Li, Ben Wang, Huili Liu, and Zhan Shen "A comparison of algorithms to suppress noise in GF-3 FSII SAR images", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125511E (23 February 2023); https://doi.org/10.1117/12.2668223

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