elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XLII-2, pp. 1045-1051. ISPRS Technical Commission Symposium 2018, 2018-06-04 - 2018-06-07, Riva del Garda, Italien. doi: 10.5194/isprs-archives-XLII-2-1045-2018. ISSN 1682-1750.

[img] PDF
10MB

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 AuthorsAuthor's ORCID iDORCID Put Code
Schmitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hughes, LloydUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Körner, MarcoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIEDUNSPECIFIED
Date:June 2018
Journal or Publication Title:International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:XLII-2
DOI:10.5194/isprs-archives-XLII-2-1045-2018
Page Range:pp. 1045-1051
ISSN:1682-1750
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 Start Date:4 June 2018
Event End Date:7 June 2018
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old)
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:24 Apr 2024 20:24

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.