DELEDALLE, Charles-Alban; DENIS, Loïc; TABTI, Sonia; TUPIN, Florence

doi:10.1109/TIP.2017.2713946

Métadonnées

Afficher la notice complète

Licence d’utilisation du document

DELEDALLE, Charles-Alban
Institut de Mathématiques de Bordeaux [IMB]

DENIS, Loïc
Laboratoire Hubert Curien [LabHC]

TABTI, Sonia
Equipe Image - Laboratoire GREYC - UMR6072
Laboratoire Traitement et Communication de l'Information [LTCI]

Langue

Article de revue

Ce document a été publié dans

IEEE Transactions on Image Processing. 2017-09, vol. 26, n° 9, p. 4389-4403

Institute of Electrical and Electronics Engineers

Résumé en anglais

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.< Réduire

Mots clés en anglais

variance stabilization

speckle

SAR

Wishart distribution

ADMM

URI

https://oskar-bordeaux.fr/handle/20.500.12278/193685

DOI

http://dx.doi.org/10.1109/TIP.2017.2713946

Project ANR

Analyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251