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Diniz Dal Molin Junior, Ricardo Simao and Rizzoli, Paola (2022) Deep Learning for Land Cover Classification from Sentinel-1 InSAR Short-Time-Series in the Amazon Forest. ESA Living Planet Symposium, 2022-05-23 - 2022-05-27, Bonn, Germany.
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| Item URL in elib: | https://elib.dlr.de/186249/ | |||||||||
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| Document Type: | Conference or Workshop Item (Speech) | |||||||||
| Title: | Deep Learning for Land Cover Classification from Sentinel-1 InSAR Short-Time-Series in the Amazon Forest | |||||||||
| Authors: |
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| Date: | 2022 | |||||||||
| Refereed publication: | No | |||||||||
| Open Access: | No | |||||||||
| Gold Open Access: | No | |||||||||
| In SCOPUS: | No | |||||||||
| In ISI Web of Science: | No | |||||||||
| Status: | Accepted | |||||||||
| Keywords: | convolutional neural networks; Synthetic Aperture Radar; Sentinel-1; forest mapping; deforestation monitoring; deep learning; | |||||||||
| Event Title: | ESA Living Planet Symposium | |||||||||
| Event Location: | Bonn, Germany | |||||||||
| Event Type: | international Conference | |||||||||
| Event Dates: | 2022-05-23 - 2022-05-27 | |||||||||
| 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 - AI4SAR | |||||||||
| Location: | Oberpfaffenhofen | |||||||||
| Institutes and Institutions: | Microwaves and Radar Institute Microwaves and Radar Institute > Spaceborne SAR Systems | |||||||||
| Deposited By: | Diniz Dal Molin Junior, Ricardo Simao | |||||||||
| Deposited On: | 02 May 2022 14:57 | |||||||||
| Last Modified: | 02 May 2022 14:57 |
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- Deep Learning for Land Cover Classification from Sentinel-1 InSAR Short-Time-Series in the Amazon Forest. (deposited 02 May 2022 14:57) [Currently Displayed]
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