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InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration

Sica, Francescopaolo and Cozzolino, Davide and Zhu, Xiao Xiang and Verdoliva, Luisa and Poggi, Giovanni (2018) InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration. IEEE Transactions on Geoscience and Remote Sensing, 56 (6), pp. 3456-3467. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2018.2800087. ISSN 0196-2892.

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The block-matching 3-D (BM3D) algorithm, based on the nonlocal approach, is one of the most effective methods to date for additive white Gaussian noise image denoising. Likewise, its extension to synthetic aperture radar (SAR) amplitude images, SAR-BM3D, is a state-of-the-art SAR despeckling algorithm. In this paper, we further extend BM3D to address the restoration of SAR interferometric phase images. While keeping the general structure of BM3D, its processing steps are modified to take into account the peculiarities of the SAR interferometry signal. Experiments on simulated and real-world Tandem-X SAR interferometric pairs prove the effectiveness of the proposed method

Item URL in elib:https://elib.dlr.de/120822/
Document Type:Article
Title:InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492
Cozzolino, Davidedavide.cozzolino (at) unina.itUNSPECIFIED
Zhu, Xiao Xiangxiaoxiang.zhu (at) dlr.deUNSPECIFIED
Verdoliva, Luisaverdoliv (at) unina.itUNSPECIFIED
Poggi, Giovannipoggi (at) unina.itUNSPECIFIED
Date:June 2018
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 3456-3467
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Series Name:IEEE Transaction
Keywords:Nonlocal filtering, synthetic aperture Radar (SAR), SAR interferometry (InSAR)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - SAR methods
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Remote Sensing Technology Institute > EO Data Science
Deposited By: Sica, Dr. Francescopaolo
Deposited On:09 Jul 2018 09:14
Last Modified:31 Jul 2019 20:18

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