Speckle noise reduction technique for SAR images using SRAD and gradient domain guided image filtering

Hyunho Choi; Jechang Jeong

doi:10.1117/12.2566244

1 June 2020 Speckle noise reduction technique for SAR images using SRAD and gradient domain guided image filtering

Hyunho Choi, Jechang Jeong

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115152M (2020) https://doi.org/10.1117/12.2566244
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

Abstract

In this paper, a novel algorithm is proposed using speckle reducing anisotropic diffusion (SRAD) and gradient domain guided image filtering (GDGIF) to reduce speckle in synthetic aperture radar (SAR) images. SRAD is suitable for reducing multiplicative noise in SAR images because it can directly process log-compressed data. Since GDGIF has edge-aware weighting, it is adaptively applied to SRAD result images to additionally reduce speckle noise. Experimental results demonstrate that the proposed algorithm, compared to existing filtering methods, shows excellent speckle noise reduction performance and a low computational complexity.

Citation Download Citation

Hyunho Choi and Jechang Jeong "Speckle noise reduction technique for SAR images using SRAD and gradient domain guided image filtering", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115152M (1 June 2020); https://doi.org/10.1117/12.2566244

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