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Harnessing Deep Learning for TomoSAR stack enhancement

Serafin Garcia, Sergio Alejandro and Nannini, Matteo and Martin del Campo Becerra, Gustavo and Hänsch, Ronny and Reigber, Andreas (2024) Harnessing Deep Learning for TomoSAR stack enhancement. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. EUSAR 2024, 2024-04-23 - 2024-04-26, Munich, Germany. ISBN 978-380076287-3. ISSN 2197-4403.

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Item URL in elib:https://elib.dlr.de/203359/
Document Type:Conference or Workshop Item (Speech)
Title:Harnessing Deep Learning for TomoSAR stack enhancement
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Serafin Garcia, Sergio AlejandroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nannini, MatteoUNSPECIFIEDhttps://orcid.org/0000-0003-3523-9639UNSPECIFIED
Martin del Campo Becerra, GustavoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Reigber, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-2118-5046UNSPECIFIED
Date:2024
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
ISSN:2197-4403
ISBN:978-380076287-3
Status:Published
Keywords:TomoSAR, Deep Learning, Interpolation
Event Title:EUSAR 2024
Event Location:Munich, Germany
Event Type:international Conference
Event Start Date:23 April 2024
Event End Date:26 April 2024
Organizer:VDE
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 - Aircraft SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Serafin Garcia, Sergio Alejandro
Deposited On:20 Mar 2024 11:33
Last Modified:25 Nov 2024 14:44

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