Mostrar el registro sencillo del ítem

Speckle reduction in matrix-log domain for synthetic aperture radar imaging

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 Polytechnique de Paris [IP Paris]
hal.structure.identifierDépartement Images, Données, Signal [IDS]
hal.structure.identifierImage, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
dc.contributor.authorTUPIN, Florence
dc.date.accessioned2024-04-04T02:46:11Z
dc.date.available2024-04-04T02:46:11Z
dc.date.created2021
dc.date.issued2022-03
dc.identifier.issn0924-9907
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191526
dc.description.abstractEnSynthetic aperture radar (SAR) images are widely used for Earth observation to complement optical imaging. By combining information on the polarization and the phase shift of the radar echos, SAR images offer high sensitivity to the geometry and materials that compose a scene. This information richness comes with a drawback inherent to all coherent imaging modalities: a strong signal-dependent noise called "speckle". This paper addresses the mathematical issues of performing speckle reduction in a transformed domain: the matrix-log domain. Rather than directly estimating noiseless covariance matrices, recasting the denoising problem in terms of the matrix-log of the covariance matrices stabilizes noise fluctuations and makes it possible to apply off-the-shelf denoising algorithms. We refine the method MuLoG by replacing heuristic procedures with exact expressions and improving the estimation strategy. This corrects a bias of the original method and should facilitate and encourage the adaptation of general-purpose processing methods to SAR imaging.
dc.description.sponsorshipAnalyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002
dc.language.isoen
dc.publisherSpringer Verlag
dc.title.enSpeckle reduction in matrix-log domain for synthetic aperture radar imaging
dc.typeArticle de revue
dc.identifier.doi10.1007/s10851-022-01067-1
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halMathématiques [math]/Statistiques [math.ST]
bordeaux.journalJournal of Mathematical Imaging and Vision
bordeaux.page298-320
bordeaux.volume64
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierujm-03275572
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//ujm-03275572v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Mathematical%20Imaging%20and%20Vision&rft.date=2022-03&rft.volume=64&rft.spage=298-320&rft.epage=298-320&rft.eissn=0924-9907&rft.issn=0924-9907&rft.au=DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&TUPIN,%20Florence&rft.genre=article


Archivos en el ítem

ArchivosTamañoFormatoVer

No hay archivos asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem