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hal.structure.identifierMathématiques Appliquées Paris 5 [MAP5 - UMR 8145]
dc.contributor.authorABERGEL, Rémy
hal.structure.identifierLaboratoire Hubert Curien [LabHC]
dc.contributor.authorDENIS, Loïc
hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
dc.contributor.authorTUPIN, Florence
hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
dc.contributor.authorLADJAL, Saïd
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles-Alban
hal.structure.identifierMathématiques Appliquées Paris 5 [MAP5 - UMR 8145]
dc.contributor.authorALMANSA, Andrés
dc.date.accessioned2024-04-04T03:00:52Z
dc.date.available2024-04-04T03:00:52Z
dc.date.conference2019-07-28
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192851
dc.description.abstractEnSpeckle reduction is a necessary step for many applications. Very effective methods have been developed in the recent years for single-image speckle reduction and multi-temporal speckle filtering. However , to reduce the presence of sidelobes around bright targets, SAR images are spectrally weighted and this processing impacts the speckle statistics by introducing spatial correlations. These correlations severely impact speckle reduction methods that require uncor-related speckle as input. Thus, spatial down-sampling is typically applied to reduce the speckle spatial correlations prior to speckle filtering. To better preserve the spatial resolution, we describe how to correctly resample SAR images and extract bright targets in order to process full-resolution images with speckle-reduction methods.
dc.description.sponsorshipRestauration Multi-Images: des Mathématiques Appliqueés à l'Industrie de l'Imagerie. - ANR-14-CE27-0019
dc.language.isoen
dc.subject.enSentinel-1
dc.subject.enderamping
dc.subject.ensub-pixel target detection
dc.subject.ensidelobe reduction
dc.subject.endespeckling
dc.title.enResolution-Preserving Speckle Reduction of SAR Images: the Benefits of Speckle Decorrelation and Targets Extraction
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS.2019.8900036
dc.subject.halInformatique [cs]/Mathématique discrète [cs.DM]
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
dc.subject.halMathématiques [math]/Mathématiques générales [math.GM]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title2019 IEEE International Geoscience and Remote Sensing Symposium
bordeaux.countryJP
bordeaux.conference.cityYokohama
bordeaux.peerReviewedoui
hal.identifierhal-02148907
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2019-08-02
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02148907v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ABERGEL,%20R%C3%A9my&DENIS,%20Lo%C3%AFc&TUPIN,%20Florence&LADJAL,%20Sa%C3%AFd&DELEDALLE,%20Charles-Alban&rft.genre=unknown


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