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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, pp. 1-4. European Conference on Synthetic Aperture Radar (EUSAR), 2021-03-29 - 2021-04-01, virtually. ISSN 2197-4403.

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/9472526


Item URL in elib:https://elib.dlr.de/146365/
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, OlivierUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyRonny.Haensch (at) dlr.deUNSPECIFIED
Cazcarra-Bes, VictorUNSPECIFIEDUNSPECIFIED
Hellwich, OlafUNSPECIFIEDUNSPECIFIED
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
Page Range:pp. 1-4
ISSN:2197-4403
Status:Published
Keywords:TomoSAR, machine learning, semantic segmentation
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:virtually
Event Type:international Conference
Event Dates:2021-03-29 - 2021-04-01
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:29 Nov 2021 19:05
Last Modified:13 Jan 2022 18:40

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