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hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
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, Loïc
hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
dc.contributor.authorMAÎTRE, Henri
hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
dc.contributor.authorNICOLAS, Jean-Marie
hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T03:06:02Z
dc.date.available2024-04-04T03:06:02Z
dc.date.conference2018-07-22
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193305
dc.description.abstractEnIn this paper, a generic method is proposed to reduce speckle in multi-temporal stacks of SAR images. The method is based on the computation of a " super-image " , with a large number of looks, by temporal averaging. Then, ratio images are formed by dividing each image of the multi-temporal stack by the " super-image ". In the absence of changes of the ra-diometry, the temporal fluctuations of the intensity at a given spatial location are due to the speckle phenomenon. In areas affected by temporal changes, fluctuations cannot be ascribed to speckle only but also to radiometric changes. The overall effect of the division by the " super-image " is the spatial sta-tionarity improvement: ratio images are much more homogeneous than the original images. Therefore, filtering these ratio images with a speckle-reduction method is more effective, in terms 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 multiplication with the " super-image ". Results are presented and analyzed both on synthetic and real SAR data and show the interest of the proposed approach.
dc.language.isoen
dc.subject.enIndex Terms— Multi-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 du signal et de l'image
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
bordeaux.countryES
bordeaux.conference.cityValencia
bordeaux.peerReviewedoui
hal.identifierhal-01791396
hal.version1
hal.invitednon
hal.proceedingsnon
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01791396v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ZHAO,%20Weiying&DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&MA%C3%8ETRE,%20Henri&NICOLAS,%20Jean-Marie&rft.genre=unknown


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