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Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models

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.identifierUniversità degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
dc.contributor.authorFERRAIOLI, Giampaolo
hal.structure.identifierUniversità degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
dc.contributor.authorPASCAZIO, Vito
hal.structure.identifierUniversità degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
dc.contributor.authorSCHIRINZI, Gilda
hal.structure.identifierLaboratoire Traitement et Communication de l'Information [LTCI]
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T03:09:41Z
dc.date.available2024-04-04T03:09:41Z
dc.date.created2016
dc.date.issued2017
dc.identifier.isbn978-3-319-66328-9
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193627
dc.description.abstractEnThis chapter is dedicated to very high resolution (VHR) SAR imagery, including interferometric applications. First, the principles of SAR data acquisition are presented as well as the different types of configurations. The widely adopted Gaussian complex model of fully developed speckle is described as well as more advanced statistical models for VHR SAR data that account for textures. The following two parts are devoted to SAR image estimation and to image denoising within two different frameworks. First, Markovian modeling is introduced and the associated optimization approaches are presented, including graph-cut based optimization. The second framework is the patch-based non-local modeling of SAR complex data. Both frameworks are adapted to SAR images through the use of statistical models specific to SAR imagery. Their applications to amplitude data, interferometry, and fusion with optical data are illustrated. A special focus is given to phase unwrapping applied to single and multi- channel interferometry, showing the usefulness of local and global contextual models.
dc.language.isoen
dc.publisherSpringer International Publishing
dc.source.titleMathematical Models for Remote Sensing Image Processing
dc.title.enVery high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-3-319-66330-2
dc.subject.halSciences de l'ingénieur [physics]/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.title.proceedingMathematical Models for Remote Sensing Image Processing
hal.identifierujm-01565508
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//ujm-01565508v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Mathematical%20Models%20for%20Remote%20Sensing%20Image%20Processing&rft.date=2017&rft.au=DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&FERRAIOLI,%20Giampaolo&PASCAZIO,%20Vito&SCHIRINZI,%20Gilda&rft.isbn=978-3-319-66328-9&rft.genre=unknown


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