Afficher la notice abrégée

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles-Alban
hal.structure.identifierLaboratoire Hubert Curien [LabHC]
dc.contributor.authorDENIS, L.
hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T03:05:20Z
dc.date.available2024-04-04T03:05:20Z
dc.date.issued2018-07
dc.date.conference2018-07
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193235
dc.description.abstractEnSpeckle reduction is a long-standing topic in SAR data pro-cessing. Continuous progress made in the field of imagedenoising fuels the development of methods dedicated tospeckle in SAR images. Adaptation of a denoising techniqueto the specific statistical nature of speckle presents variablelevels of difficulty. It is well known that the logarithm trans-form maps the intrinsically multiplicative speckle into anadditive and stationary component, thereby paving the wayto the application of general-purpose image denoising meth-ods to SAR intensity images. Multi-channel SAR imagessuch as obtained in interferometric (InSAR) or polarimetric(PolSAR) configurations are much more challenging. Thispaper describes MuLoG, a generic approach for mappinga multi-channel SAR image into real-valued images withan additive speckle component that has a variance approxi-mately constant. With this approach, general-purpose imagedenoising algorithms can be readily applied to restore InSARor PolSAR data. In particular, we show how recent denois-ing methods based on deep convolutional neural networkslead to state-of-the art results when embedded with MuLoGframework.
dc.description.sponsorshipAnalyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002
dc.language.isoen
dc.source.titleIGARSS
dc.subject.enSAR
dc.subject.enspeckle
dc.subject.eninterferometry
dc.subject.enpolarimetry
dc.subject.enmultiplicative noise
dc.title.enMULOG: A GENERIC VARIANCE-STABILIZATION APPROACH FOR SPECKLE REDUCTION IN SAR INTERFEROMETRY AND SAR POLARIMETRY
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleIGARSS
bordeaux.countryES
bordeaux.title.proceedingIGARSS
bordeaux.conference.cityValencia
bordeaux.peerReviewedoui
hal.identifierhal-01860246
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01860246v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IGARSS&rft.date=2018-07&rft.au=DELEDALLE,%20Charles-Alban&DENIS,%20L.&TUPIN,%20Florence&rft.genre=unknown


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée