PARISAR: Patch-based estimation and regularized inversion for multi-baseline SAR interferometry
| hal.structure.identifier | Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE] | |
| dc.contributor.author | FERRAIOLI, Giampaolo | |
| 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, Loïc | |
| hal.structure.identifier | Laboratoire Traitement et Communication de l'Information [LTCI] | |
| dc.contributor.author | TUPIN, Florence | |
| dc.date.accessioned | 2024-04-04T03:07:50Z | |
| dc.date.available | 2024-04-04T03:07:50Z | |
| dc.date.issued | 2018-03 | |
| dc.identifier.issn | 0196-2892 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193480 | |
| dc.description.abstractEn | Reconstruction of elevation maps from a collection of SAR images obtained in interferometric configuration is a challenging task. Reconstruction methods must overcome two adverse effects: the strong interferometric noise that contaminates the data, and the 2π phase ambiguities. Interferometric noise requires some form of smoothing among pixels of identical height. Phase ambiguities can be solved, up to a point, by combining linkage to the neighbors and a global optimization strategy to prevent from being trapped in local minima. This paper introduces a reconstruction method, PARISAR, that achieves both a resolution-preserving denoising and a robust phase unwrapping by combining non-local denoising methods based on patch similarities and total-variation regularization. The optimization algorithm, based on graph-cuts, identifies the global optimum. We compare PARISAR with several other reconstruction methods both on numerical simulations and satellite images and show a qualitative and quantitative improvement over state-of-the-art reconstruction methods for multi-baseline SAR interferometry. | |
| dc.description.sponsorship | Analyse de surfaces urbaines par tomographie SAR - ANR-15-ASTR-0002 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.subject.en | SAR interferometry | |
| dc.subject.en | multi-channel InSAR | |
| dc.subject.en | Non- local means | |
| dc.subject.en | TV regularization | |
| dc.title.en | PARISAR: Patch-based estimation and regularized inversion for multi-baseline SAR interferometry | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1109/TGRS.2017.2765761 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| bordeaux.journal | IEEE Transactions on Geoscience and Remote Sensing | |
| bordeaux.page | 1626-1636 | |
| bordeaux.volume | 56 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.issue | 3 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | ujm-01525973 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//ujm-01525973v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE%20Transactions%20on%20Geoscience%20and%20Remote%20Sensing&rft.date=2018-03&rft.volume=56&rft.issue=3&rft.spage=1626-1636&rft.epage=1626-1636&rft.eissn=0196-2892&rft.issn=0196-2892&rft.au=FERRAIOLI,%20Giampaolo&DELEDALLE,%20Charles-Alban&DENIS,%20Lo%C3%AFc&TUPIN,%20Florence&rft.genre=article |
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