Singha, Suman and Imber, James (2019) Synthetic Aperture Radar based Sea Ice Type Retrieval using Deep Neural Network. In: Proceedings of Living Planet Symposium 2019. ESA Living Planet Symposium, 13. - 17. Mai 2019, Mailand, Italien.
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Item URL in elib: | https://elib.dlr.de/126402/ | |||||||||
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Document Type: | Conference or Workshop Item (Poster) | |||||||||
Title: | Synthetic Aperture Radar based Sea Ice Type Retrieval using Deep Neural Network | |||||||||
Authors: |
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Date: | May 2019 | |||||||||
Journal or Publication Title: | Proceedings of Living Planet Symposium 2019 | |||||||||
Refereed publication: | No | |||||||||
Open Access: | Yes | |||||||||
Gold Open Access: | No | |||||||||
In SCOPUS: | No | |||||||||
In ISI Web of Science: | No | |||||||||
Status: | Published | |||||||||
Keywords: | Deep Learning, Polarimetry, Sea ice, Arctic | |||||||||
Event Title: | ESA Living Planet Symposium | |||||||||
Event Location: | Mailand, Italien | |||||||||
Event Type: | international Conference | |||||||||
Event Dates: | 13. - 17. Mai 2019 | |||||||||
Organizer: | ESA & Italian Space Agency | |||||||||
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 - SAR methods | |||||||||
Location: | Bremen , Oberpfaffenhofen | |||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | |||||||||
Deposited By: | Kaps, Ruth | |||||||||
Deposited On: | 19 Feb 2019 11:59 | |||||||||
Last Modified: | 31 Dec 2020 03:00 |
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