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hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
dc.contributor.authorZHAO, Weiying
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.authorMAÎTRE, Henri
hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
dc.contributor.authorNICOLAS, Jean-Marie
hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T03:05:19Z
dc.date.available2024-04-04T03:05:19Z
dc.date.issued2018-07
dc.date.conference2018-07
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193234
dc.description.abstractEnIn this paper, a generic method is proposed to reduce specklein multi-temporal stacks of SAR images. The method is basedon the computation of a “super-image”, with a large num-ber of looks, by temporal averaging. Then, ratio images areformed by dividing each image of the multi-temporal stackby the “super-image”. In the absence of changes of the ra-diometry, the temporal fluctuations of the intensity at a givenspatial location are due to the speckle phenomenon. In areasaffected by temporal changes, fluctuations cannot be ascribedto speckle only but also to radiometric changes. The overalleffect of the division by the “super-image” is the spatial sta-tionarity improvement: ratio images are much more homoge-neous than the original images. Therefore, filtering these ratioimages with a speckle-reduction method is more effective, interms of speckle suppression, than filtering the original multi-temporal stack. After denoising of the ratio image, the de-speckled multi-temporal stack is obtained by multiplicationwith the “super-image”. Results are presented and analyzedboth on synthetic and real SAR data and show the interest ofthe proposed approach.
dc.language.isoen
dc.source.titleIGARSS
dc.subject.enMulti-temporal SAR series
dc.subject.enratio image
dc.subject.ensuper-image
dc.subject.enSAR
dc.subject.endespeckling
dc.title.enRABASAR: A FAST RATIO BASED MULTI-TEMPORAL SAR DESPECKLING
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-01860257
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01860257v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IGARSS&rft.date=2018-07&rft.au=ZHAO,%20Weiying&DELEDALLE,%20Charles-Alban&DENIS,%20L.&MA%C3%8ETRE,%20Henri&NICOLAS,%20Jean-Marie&rft.genre=unknown


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