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TEN YEARS OF PATCH-BASED APPROACHES FOR SAR IMAGING: A REVIEW
hal.structure.identifier | Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES] | |
hal.structure.identifier | Département Images, Données, Signal [IDS] | |
dc.contributor.author | TUPIN, Florence | |
dc.contributor.author | DENIS, Loïc | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | DELEDALLE, Charles-Alban | |
hal.structure.identifier | Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE] | |
dc.contributor.author | FERRAIOLI, Giampaolo | |
dc.date.accessioned | 2024-04-04T02:58:57Z | |
dc.date.available | 2024-04-04T02:58:57Z | |
dc.date.conference | 2019-07-29 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192703 | |
dc.description.abstractEn | Speckle reduction is a major issue for many SAR imaging applications using amplitude, interferometric, polarimetric or tomographic data. This subject has been widely investigated using various approaches. Since a decade, breakthrough methods based on patches have brought unprecedented results to improve the estimation of radar properties. In this paper, we give a review of the different adaptations which have been proposed in the past years for different SAR modalities (mono-channel data like intensity images, multi-channel data like interferometric, tomographic or polarimetric data, or multi-modalities combining optic and SAR images), and discuss the new trends on this subject. | |
dc.language.iso | en | |
dc.subject.en | Patch-based approaches | |
dc.subject.en | SAR despeckling | |
dc.subject.en | NL- SAR | |
dc.title.en | TEN YEARS OF PATCH-BASED APPROACHES FOR SAR IMAGING: A REVIEW | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Informatique [cs]/Traitement des images | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
dc.subject.hal | Sciences de l'environnement/Ingénierie de l'environnement | |
dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | |
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 (International Geoscience and Remote Sensing Symposium) | |
bordeaux.country | JP | |
bordeaux.conference.city | Yokohama | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-02374531 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | non | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-02374531v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=TUPIN,%20Florence&DENIS,%20Lo%C3%AFc&DELEDALLE,%20Charles-Alban&FERRAIOLI,%20Giampaolo&rft.genre=unknown |
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