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Diniz Dal Molin Junior, Ricardo Simao and Rizzoli, Paola (2022) Assessing Sentinel-1 InSAR Short-Time-Series for Systematic Rainforest Mapping with Deep Learning. European Conference on Synthetic Aperture Radar (EUSAR), 2022-07-25 - 2022-07-27, Leipzig, Germany.
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| Item URL in elib: | https://elib.dlr.de/186373/ | |||||||||
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| Document Type: | Conference or Workshop Item (Speech) | |||||||||
| Title: | Assessing Sentinel-1 InSAR Short-Time-Series for Systematic Rainforest Mapping with Deep Learning | |||||||||
| Authors: |
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| Date: | 2022 | |||||||||
| Refereed publication: | Yes | |||||||||
| Open Access: | No | |||||||||
| Gold Open Access: | No | |||||||||
| In SCOPUS: | No | |||||||||
| In ISI Web of Science: | No | |||||||||
| Status: | Accepted | |||||||||
| Keywords: | Forest mapping; Deep Learning; Synthetic Aperture Radar (SAR); Sentinel-1 | |||||||||
| Event Title: | European Conference on Synthetic Aperture Radar (EUSAR) | |||||||||
| Event Location: | Leipzig, Germany | |||||||||
| Event Type: | international Conference | |||||||||
| Event Dates: | 2022-07-25 - 2022-07-27 | |||||||||
| 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: | 16 May 2022 06:13 | |||||||||
| Last Modified: | 16 May 2022 06:13 |
Available Versions of this Item
- Assessing Sentinel-1 InSAR Short-Time-Series for Systematic Rainforest Mapping with Deep Learning. (deposited 16 May 2022 06:13) [Currently Displayed]
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