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hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles-Alban
hal.structure.identifierLaboratoire Hubert Curien [LabHC]
dc.contributor.authorDENIS, Loïc
hal.structure.identifierTélécom ParisTech
hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
dc.contributor.authorTUPIN, Florence
hal.structure.identifierDLR Microwaves and Radar Institute
dc.contributor.authorREIGBER, Andreas
hal.structure.identifierDLR Microwaves and Radar Institute
dc.contributor.authorJÄGER, Marc
dc.date.accessioned2024-04-04T03:21:34Z
dc.date.available2024-04-04T03:21:34Z
dc.date.created2014-03-05
dc.date.issued2015-04-01
dc.identifier.issn0196-2892
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194668
dc.description.abstractEnSpeckle noise is an inherent problem in coherent imaging systems like synthetic aperture radar. It creates strong intensity fluctuations and hampers the analysis of images and the estimation of local radiometric, polarimetric or interferometric properties. SAR processing chains thus often include a multi-looking (i.e., averaging) filter for speckle reduction, at the expense of a strong resolution loss. Preservation of point-like and fine structures and textures requires to adapt locally the estimation. Non-local means successfully adapt smoothing by deriving data-driven weights from the similarity between small image patches. The generalization of non-local approaches offers a flexible framework for resolution-preserving speckle reduction. We describe a general method, NL-SAR, that builds extended non-local neighborhoods for denoising amplitude, polarimetric and/or interferometric SAR images. These neighborhoods are defined on the basis of pixel similarity as evaluated by multi-channel comparison of patches. Several non-local estimations are performed and the best one is locally selected to form a single restored image with good preservation of radar structures and discontinuities. The proposed method is fully automatic and handles single and multi-look images, with or without interferometric or polarimetric channels. Efficient speckle reduction with very good resolution preservation is demonstrated both on numerical experiments using simulated data, airborne and spaceborne radar images. The source code of a parallel implementation of NL-SAR is released with the paper.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.subject.enPolarimetry
dc.subject.enEstimation
dc.subject.enNon-local means
dc.subject.enSynthetic Aperture Radar (SAR)
dc.subject.enInterferometry
dc.title.enNL-SAR: a unified Non-Local framework for resolution-preserving (Pol)(In)SAR denoising
dc.typeArticle de revue
dc.subject.halInformatique [cs]/Traitement des images
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalIEEE Transactions on Geoscience and Remote Sensing
bordeaux.page2021 - 2038
bordeaux.volume53
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue4
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00844118
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00844118v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE%20Transactions%20on%20Geoscience%20and%20Remote%20Sensing&rft.date=2015-04-01&rft.volume=53&rft.issue=4&rft.spage=2021%20-%202038&rft.epage=2021%20-%202038&rft.eissn=0196-2892&rft.issn=0196-2892&rft.au=DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&TUPIN,%20Florence&REIGBER,%20Andreas&J%C3%84GER,%20Marc&rft.genre=article


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