期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 26, 期 9, 页码 4389-4403出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2017.2713946
关键词
SAR; speckle; variance stabilization; ADMM; Wishart distribution
资金
- French State [ANR-16-CE33-0010-01]
- Direction Generale de l'Armement
- Delegation Generale pour l'Armement
- Centre National de la Recherche Scientifique
- ANR in ALYS Project [ANR-15-ASTR-0002]
- Agence Nationale de la Recherche (ANR) [ANR-15-ASTR-0002] Funding Source: Agence Nationale de la Recherche (ANR)
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since most current and planned SAR imaging satellites operate in polarimetric, interferometric, or tomographic modes, SAR images are multichannel and speckle reduction techniques must jointly process all channels to recover polarimetric and interferometric information. The distinctive nature of SAR signal (complex-valued, corrupted by multiplicative fluctuations) calls for the development of specialized methods for speckle reduction. Image denoising is a very active topic in image processing with a wide variety of approaches and many denoising algorithms available, almost always designed for additive Gaussian noise suppression. This paper proposes a general scheme, called MuLoG (MUlti-channel LOgarithm with Gaussian denoising), to include such Gaussian denoisers within a multi-channel SAR speckle reduction technique. A new family of speckle reduction algorithms can thus be obtained, benefiting from the ongoing progress in Gaussian denoising, and offering several speckle reduction results often displaying method-specific artifacts that can be dismissed by comparison between results.
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