Ebel, Patrick and Schmitt, Michael and Zhu, Xiao Xiang (2020) Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 1-4. IEEE. IGARSS 2020, 2020-09-26 - 2020-10-02, Waikoloa, Hawaii, USA. doi: 10.1109/IGARSS39084.2020.9324060. ISBN 978-172816374-1. ISSN 2153-6996.
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Official URL: https://igarss2020.org/view_paper.php?PaperNum=2858
Item URL in elib: | https://elib.dlr.de/140913/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
Title: | Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion | ||||||||||||||||
Authors: |
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Date: | September 2020 | ||||||||||||||||
Journal or Publication Title: | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | No | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||
DOI: | 10.1109/IGARSS39084.2020.9324060 | ||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||
Publisher: | IEEE | ||||||||||||||||
ISSN: | 2153-6996 | ||||||||||||||||
ISBN: | 978-172816374-1 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | cloud removal, sentinel-2, cycle-GAN, SAR-optical data fusion | ||||||||||||||||
Event Title: | IGARSS 2020 | ||||||||||||||||
Event Location: | Waikoloa, Hawaii, USA | ||||||||||||||||
Event Type: | international Conference | ||||||||||||||||
Event Start Date: | 26 September 2020 | ||||||||||||||||
Event End Date: | 2 October 2020 | ||||||||||||||||
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 - Remote Sensing and Geo Research, R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||||||
Deposited By: | Bratasanu, Ion-Dragos | ||||||||||||||||
Deposited On: | 12 Feb 2021 16:34 | ||||||||||||||||
Last Modified: | 24 Apr 2024 20:41 |
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