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Catanossi, Giovanni (2025) KI-unterstützte Korrektur von Vegetations-verursachtes Bias in InSAR DEMs. Master's, Politecnico di Milano.
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| Item URL in elib: | https://elib.dlr.de/213243/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | KI-unterstützte Korrektur von Vegetations-verursachtes Bias in InSAR DEMs | ||||||||
| Authors: |
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| Date: | August 2025 | ||||||||
| Open Access: | No | ||||||||
| Status: | Unpublished | ||||||||
| Keywords: | sar, interferometry, deep learning, forestry, tropics | ||||||||
| Institution: | Politecnico di Milano | ||||||||
| Department: | Telecommunication Engineering | ||||||||
| 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 > Spaceborne SAR Systems Microwaves and Radar Institute | ||||||||
| Deposited By: | Carcereri, Daniel | ||||||||
| Deposited On: | 20 Mar 2025 11:18 | ||||||||
| Last Modified: | 20 Mar 2025 11:21 |
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