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Uhse, Vincent (2025) Deep learning for digital elevation model (DEM) generation in the frame of an Enceladus radar mission study. Project thesis, Universität Konstanz.
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| Item URL in elib: | https://elib.dlr.de/214188/ | ||||||||
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| Document Type: | Thesis (Project thesis) | ||||||||
| Title: | Deep learning for digital elevation model (DEM) generation in the frame of an Enceladus radar mission study | ||||||||
| Authors: |
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| Date: | 2025 | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Deep learning, Digital elevation model, DEM, Remote sensing, Radar, Synthetic aperture radar, SAR, TerraSar-X, Enceladus, Icy moon, Mission study | ||||||||
| Institution: | Universität Konstanz | ||||||||
| Department: | Computer and Information Science | ||||||||
| 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 Expert Support Lab | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts | ||||||||
| Deposited By: | Uhse, Vincent | ||||||||
| Deposited On: | 19 May 2025 16:13 | ||||||||
| Last Modified: | 01 Dec 2025 18:29 |
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