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Carcereri, Tobias (2025) Vision Transformers for land cover classification using Sentinel-1 repeat-pass InSAR short time series. Master's, University of Trento.
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| Item URL in elib: | https://elib.dlr.de/206429/ | ||||||||||||
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| Document Type: | Thesis (Master's) | ||||||||||||
| Title: | Vision Transformers for land cover classification using Sentinel-1 repeat-pass InSAR short time series | ||||||||||||
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| Date: | 2025 | ||||||||||||
| Open Access: | No | ||||||||||||
| Number of Pages: | 92 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | artificial intelligence, remote sensing, Sentinel-1, Vision Transformers, rainforests | ||||||||||||
| Institution: | University of Trento | ||||||||||||
| Department: | Information Engineering and Computer 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 - 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: | 08 Oct 2024 12:54 | ||||||||||||
| Last Modified: | 24 Nov 2025 15:55 |
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