DELEDALLE, Charles-Alban; DENIS, Loïc; POGGI, Giovanni; TUPIN, Florence; VERDOLIVA, Luisa

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]

POGGI, Giovanni
Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione [Napoli] [DIETI]

Langue

Article de revue

Ce document a été publié dans

IEEE Signal Processing Magazine. 2014-07p. Special issue: Recent Advances in Synthetic Aperture Radar Imaging

Institute of Electrical and Electronics Engineers

Résumé en anglais

Most current SAR systems offer high-resolution images featuring polarimetric, interferometric, multi-frequency, multi-angle, or multi-date information. SAR images however suffer from strong fluctuations due to the speckle phenomenon inherent to coherent imagery. Hence, all derived parameters display strong signal-dependent variance, preventing the full exploitation of such a wealth of information. Even with the abundance of despeckling techniques proposed these last three decades, there is still a pressing need for new methods that can handle this variety of SAR products and efficiently eliminate speckle without sacrificing the spatial resolution. Recently, patch-based filtering has emerged as a highly successful concept in image processing. By exploiting the redundancy between similar patches, it succeeds in suppressing most of the noise with good preservation of texture and thin structures. Extensions of patch-based methods to speckle reduction and joint exploitation of multi-channel SAR images (interferometric, polarimetric, or PolInSAR data) have led to the best denoising performance in radar imaging to date. We give a comprehensive survey of patch-based nonlocal filtering of SAR images, focusing on the two main ingredients of the methods: measuring patch similarity, and estimating the parameters of interest from a collection of similar patches.< Réduire

Métadonnées

Partager cette publication !

Licence d’utilisation du document

Exploiting patch similarity for SAR image processing: the nonlocal paradigm

Langue

Ce document a été publié dans

Résumé en anglais

URI

Origine

Unités de recherche