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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: | No | |||||||||
| 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 - Erdbeobachtung | |||||||||
| DLR - Research theme (Project): | R - SAR-Methodology | |||||||||
| 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: | 29 Nov 2019 09:08 |
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