THE EXPLOITATION OF THE NON LOCAL PARADIGM FOR SAR 3D RECONSTRUCTION
| hal.structure.identifier | Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE] | |
| dc.contributor.author | FERRAIOLI, Giampaolo | |
| dc.contributor.author | DENIS, Loïc | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | DELEDALLE, Charles-Alban | |
| 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 | 2024-04-04T02:58:56Z | |
| dc.date.available | 2024-04-04T02:58:56Z | |
| dc.date.conference | 2019-07-29 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192702 | |
| dc.description.abstractEn | In the last decades, several approaches for solving the Phase Unwrapping (PhU) problem using multi-channel Interfero-metric Synthetic Aperture Radar (InSAR) data have been developed. Many of the proposed approaches are based on statistical estimation theory, both classical and Bayesian. In particular, the statistical approaches based on the use of the whole complex multi-channel dataset have turned to be effective. The latter are based on the exploitation of the covariance matrix, which contains the parameters of interest. In this paper , the added value of the Non Local (NL) paradigm within the InSAR multi-channel PhU framework is investigated. The analysis of the impact of NL technique is performed using multi-channel realistic simulated data and X-band data. | |
| dc.language.iso | en | |
| dc.subject.en | SAR Interferometry | |
| dc.subject.en | Phase Unwrapping | |
| dc.subject.en | Multi-channel | |
| dc.subject.en | Non Local Paradigm | |
| dc.title.en | THE EXPLOITATION OF THE NON LOCAL PARADIGM FOR SAR 3D RECONSTRUCTION | |
| 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-02374544 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | non | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02374544v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=FERRAIOLI,%20Giampaolo&DENIS,%20Lo%C3%AFc&DELEDALLE,%20Charles-Alban&TUPIN,%20Florence&rft.genre=unknown |
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