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hal.structure.identifierInstitut Mines-Telecom
dc.contributor.authorTABTI, Sonia
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.identifierInstitut Mines-Telecom
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T03:18:18Z
dc.date.available2024-04-04T03:18:18Z
dc.date.conference2015-07-27
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194391
dc.description.abstractEnDue to their coherent nature, SAR (Synthetic Aperture Radar) images are very different from optical satellite images and more difficult to interpret, especially because of speckle noise. Given the increasing amount of available SAR data, efficient image processing techniques are needed to ease the analysis. Classifying this type of images, i.e., selecting an adequate label for each pixel, is a challenging task. This paper describes a supervised classification method based on local features derived from a Gaussian mixture model (GMM) of the distribution of patches. First classification results are encouraging and suggest an interesting potential of the GMM model for SAR imaging.
dc.language.isoen
dc.subject.enIndex Terms— SAR images
dc.subject.enpatches
dc.subject.enclassification
dc.subject.enGMM
dc.title.enPATCH-BASED SAR IMAGE CLASSIFICATION: THE POTENTIAL OF MODELING THE STATISTICAL DISTRIBUTION OF PATCHES WITH GAUSSIAN MIXTURES
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.titleIGARSS
bordeaux.countryIT
bordeaux.conference.cityMilan
bordeaux.peerReviewedoui
hal.identifierhal-01158555
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2015-07-31
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01158555v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=TABTI,%20Sonia&DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&TUPIN,%20Florence&rft.genre=unknown


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