MULOG: A GENERIC VARIANCE-STABILIZATION APPROACH FOR SPECKLE REDUCTION IN SAR INTERFEROMETRY AND SAR POLARIMETRY
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | DELEDALLE, Charles-Alban | |
hal.structure.identifier | Laboratoire Hubert Curien [LabHC] | |
dc.contributor.author | DENIS, L. | |
hal.structure.identifier | Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES] | |
hal.structure.identifier | Département Images, Données, Signal [IDS] | |
dc.contributor.author | TUPIN, Florence | |
dc.date.accessioned | 2024-04-04T03:05:20Z | |
dc.date.available | 2024-04-04T03:05:20Z | |
dc.date.issued | 2018-07 | |
dc.date.conference | 2018-07 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193235 | |
dc.description.abstractEn | Speckle reduction is a long-standing topic in SAR data pro-cessing. Continuous progress made in the field of imagedenoising fuels the development of methods dedicated tospeckle in SAR images. Adaptation of a denoising techniqueto the specific statistical nature of speckle presents variablelevels of difficulty. It is well known that the logarithm trans-form maps the intrinsically multiplicative speckle into anadditive and stationary component, thereby paving the wayto the application of general-purpose image denoising meth-ods to SAR intensity images. Multi-channel SAR imagessuch as obtained in interferometric (InSAR) or polarimetric(PolSAR) configurations are much more challenging. Thispaper describes MuLoG, a generic approach for mappinga multi-channel SAR image into real-valued images withan additive speckle component that has a variance approxi-mately constant. With this approach, general-purpose imagedenoising algorithms can be readily applied to restore InSARor PolSAR data. In particular, we show how recent denois-ing methods based on deep convolutional neural networkslead to state-of-the art results when embedded with MuLoGframework. | |
dc.description.sponsorship | Analyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002 | |
dc.language.iso | en | |
dc.source.title | IGARSS | |
dc.subject.en | SAR | |
dc.subject.en | speckle | |
dc.subject.en | interferometry | |
dc.subject.en | polarimetry | |
dc.subject.en | multiplicative noise | |
dc.title.en | MULOG: A GENERIC VARIANCE-STABILIZATION APPROACH FOR SPECKLE REDUCTION IN SAR INTERFEROMETRY AND SAR POLARIMETRY | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Informatique [cs]/Traitement des images | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | IGARSS | |
bordeaux.country | ES | |
bordeaux.title.proceeding | IGARSS | |
bordeaux.conference.city | Valencia | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01860246 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | oui | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01860246v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IGARSS&rft.date=2018-07&rft.au=DELEDALLE,%20Charles-Alban&DENIS,%20L.&TUPIN,%20Florence&rft.genre=unknown |
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