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Albrecht, Conrad M (2024) Weakly Supervised Learning for Land Cover Classification from Earth Observation. AI for Agriculture, 2024-06-12, virtual.
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| Item URL in elib: | https://elib.dlr.de/204773/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Weakly Supervised Learning for Land Cover Classification from Earth Observation | ||||||||
| Authors: |
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| Date: | 12 June 2024 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Copernicus Programme, Weakly-Supervised Learning, Self-Supervised Learning, LiDAR, EnMAP, hyperspectral, SAR, multi-spectral, Sentinnel-1, Sentinel-2, land cover classification, geospatial foundation models, Local Climate Zones | ||||||||
| Event Title: | AI for Agriculture | ||||||||
| Event Location: | virtual | ||||||||
| Event Type: | Workshop | ||||||||
| Event Date: | 12 June 2024 | ||||||||
| Organizer: | European Commission's Joint Research Centre | ||||||||
| 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, R - Optical remote sensing, R - SAR methods | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||
| Deposited By: | Albrecht, Conrad M | ||||||||
| Deposited On: | 21 Jun 2024 08:14 | ||||||||
| Last Modified: | 27 Jun 2024 19:03 |
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