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Becker Campos, Alexandre and Braun, Matthias and Rizzoli, Paola (2025) A Deep Unsupervised Learning Approach for Monitoring Snow Facies over Ice Sheets using TanDEM-X Bistatic Data. IEEE Transactions on Geoscience and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2025.3568123. ISSN 0196-2892.
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Official URL: https://ieeexplore.ieee.org/document/11002677
| Item URL in elib: | https://elib.dlr.de/209620/ | ||||||||||||||||
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| Document Type: | Article | ||||||||||||||||
| Title: | A Deep Unsupervised Learning Approach for Monitoring Snow Facies over Ice Sheets using TanDEM-X Bistatic Data | ||||||||||||||||
| Authors: |
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| Date: | 12 May 2025 | ||||||||||||||||
| Journal or Publication Title: | IEEE Transactions on Geoscience and Remote Sensing | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | No | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||
| DOI: | 10.1109/TGRS.2025.3568123 | ||||||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
| ISSN: | 0196-2892 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Greenland ice sheet, snow facies, synthetic aperture radar, TanDEM-X, deep learning. | ||||||||||||||||
| 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 | ||||||||||||||||
| Deposited By: | Becker Campos, Alexandre | ||||||||||||||||
| Deposited On: | 29 Nov 2024 16:03 | ||||||||||||||||
| Last Modified: | 28 May 2025 10:36 |
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