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Authors:
Siebler, Philipp; Sica, Francescopaolo; Schmitt, Michael 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
Geometry-Aware Deep Learning for InSAR Data Synthesis 
Collection editors:
VDE ITG 
Title of conference publication:
EUSAR 2024 
Subtitle of conference publication:
15th European Conference on Synthetic Aperture Radar, April 23 – 26, 2024, Munich, Germany 
Conference title:
European Conference on Synthetic Aperture Radar (15., 2024, München) 
Conference title:
EUSAR 
Venue:
München 
Year of conference:
2024 
Date of conference beginning:
23.04.2024 
Date of conference ending:
26.04.2024 
Place of publication:
Berlin 
Publisher:
VDE-Verlag 
Year:
2024 
Pages from - to:
949-954 
Language:
Englisch 
ISBN:
978-3-8007-6286-6 ; 978-3-8007-6287-3 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 9 - Institut für Raumfahrttechnik und Weltraumnutzung 
Chair:
Schmitt, Michael 
Open Access yes or no?:
Nein / No