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Hänsch, Ronny (2023) Deep Learning for SAR. EO College, 2023, Online.
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| Item URL in elib: | https://elib.dlr.de/200140/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Conference or Workshop Item (Lecture) | ||||||||
| Title: | Deep Learning for SAR | ||||||||
| Authors: |
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| Date: | 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | machine learning | ||||||||
| Event Title: | EO College | ||||||||
| Event Location: | Online | ||||||||
| Event Type: | Other | ||||||||
| Event Date: | 2023 | ||||||||
| 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 - Artificial Intelligence | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > SAR Technology | ||||||||
| Deposited By: | Hänsch, Ronny | ||||||||
| Deposited On: | 30 Nov 2023 15:01 | ||||||||
| Last Modified: | 06 May 2024 14:14 |
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