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Colorizing Sentinel-1 SAR Images using a variational Autoencoder conditioned on Sentinel-2 imagery

Schmitt, Michael and Hughes, Lloyd and Körner, Marco and Zhu, Xiao Xiang (2018) Colorizing Sentinel-1 SAR Images using a variational Autoencoder conditioned on Sentinel-2 imagery. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISSN: 1682-1750), XLII-2, pp. 1045-1051. ISPRS Technical Commission Symposium 2018, 04.-07. Juni 2018, Riva del Garda, Italien.

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Official URL: http://www.isprs.org/tc2-symposium2018/


Item URL in elib:https://elib.dlr.de/120328/
Document Type:Conference or Workshop Item (Speech)
Title:Colorizing Sentinel-1 SAR Images using a variational Autoencoder conditioned on Sentinel-2 imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schmitt, Michaelm.schmitt (at) tum.deUNSPECIFIED
Hughes, Lloydlloyd.hughes (at) tum.deUNSPECIFIED
Körner, Marcomarco.koerner (at) tum.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:June 2018
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISSN: 1682-1750)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XLII-2
Page Range:pp. 1045-1051
Status:Published
Keywords:SAR, autoencoder, Sentinel-2
Event Title:ISPRS Technical Commission Symposium 2018
Event Location:Riva del Garda, Italien
Event Type:international Conference
Event Dates:04.-07. Juni 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Zielske, Mandy
Deposited On:24 Jun 2018 23:21
Last Modified:31 Jul 2019 20:18

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