MuLoG, or How to apply Gaussian denoisers to multi-channel SAR speckle reduction?
TABTI, Sonia
Equipe Image - Laboratoire GREYC - UMR6072
Laboratoire Traitement et Communication de l'Information [LTCI]
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Equipe Image - Laboratoire GREYC - UMR6072
Laboratoire Traitement et Communication de l'Information [LTCI]
TABTI, Sonia
Equipe Image - Laboratoire GREYC - UMR6072
Laboratoire Traitement et Communication de l'Information [LTCI]
< Reduce
Equipe Image - Laboratoire GREYC - UMR6072
Laboratoire Traitement et Communication de l'Information [LTCI]
Language
en
Article de revue
This item was published in
IEEE Transactions on Image Processing. 2017-09, vol. 26, n° 9, p. 4389-4403
Institute of Electrical and Electronics Engineers
English Abstract
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 ...Read more >
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 multi-channel 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.Read less <
English Keywords
variance stabilization
speckle
SAR
Wishart distribution
ADMM
ANR Project
Analyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002
Origin
Hal imported