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Semantic segmentation of high-resolution airborne SAR images using tomographic information

D'Hondt, Olivier and Hänsch, Ronny and Cazcarra-Bes, Victor and Hellwich, Olaf (2021) Semantic segmentation of high-resolution airborne SAR images using tomographic information. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, 2021, pp. 177-180. European Conference on Synthetic Aperture Radar (EUSAR), 2021-03-29 - 2021-01-01, Online. ISSN 2197-4403.

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Item URL in elib:https://elib.dlr.de/142629/
Document Type:Conference or Workshop Item (Speech)
Title:Semantic segmentation of high-resolution airborne SAR images using tomographic information
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
D'Hondt, OlivierTechnische Universität Berlin, Computer Vision and Remote Sensing, Sekr. MAR 6-5, Marchstr. 23, Berlin, D-10587, GermanyUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765
Cazcarra-Bes, VictorUNSPECIFIEDhttps://orcid.org/0000-0002-6776-4553
Hellwich, OlafTechnische Universität Berlin, Computer Vision and Remote Sensing, Sekr. MAR 6-5, Marchstr. 23, Berlin, D-10587, GermanyUNSPECIFIED
Date:2021
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:2021
Page Range:pp. 177-180
ISSN:2197-4403
Status:Published
Keywords:SAR Tomography, Machine Learning
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Online
Event Type:international Conference
Event Dates:2021-03-29 - 2021-01-01
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
Deposited By: Cazcarra-Bes, Victor
Deposited On:07 Jun 2021 09:50
Last Modified:29 Jun 2021 07:06

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