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Optimizing PHI-NET for High-Resolution InSAR Parameters Estimation

Gobbi, Giorgia and Rizzoli, Paola and Sica, Francescopaolo and Bruzzone, Lorenzo (2021) Optimizing PHI-NET for High-Resolution InSAR Parameters Estimation. In: International Geoscience and Remote Sensing Symposium (IGARSS). IGARSS 2021, 2021-07-12 - 2021-07-16, Brussels, Belgium.

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Φ-Net is a novel deep learning architecture developed for the estimation of interferometric SAR parameters, i.e. the interferometric phase and coherence. The network, trained on a data set of synthetic images only, has shown outstanding denoising capabilities, surpassing state-of-the-art algorithms when tested on both synthetic and real InSAR data. We aim to further improve its performance by investigating new loss functions and optimizing the network structure. A preliminary analysis shows auspicious results which will be detailed in the final paper.

Item URL in elib:https://elib.dlr.de/141570/
Document Type:Conference or Workshop Item (Speech)
Title:Optimizing PHI-NET for High-Resolution InSAR Parameters Estimation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gobbi, GiorgiaGiorgia.Gobbi (at) dlr.deUNSPECIFIED
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492
Bruzzone, Lorenzolorenzo.bruzzone (at) unitn.itUNSPECIFIED
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Synthetic Aperture Radar, deep learning, convolutional neural network, denoising, InSAR phase, coherence
Event Title:IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:2021-07-12 - 2021-07-16
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 - Projekt TanDEM-X (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Gobbi, Giorgia
Deposited On:26 Mar 2021 16:10
Last Modified:03 Dec 2021 18:54

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