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Yang, Yi-Jie (2024) AI-based Oil Spill Detection Using the SAR Data from Sentinel-1. International MARISSA DAY 13, 2024-02-22, online.
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Official URL: https://marissa-days.org/Marissa-Days/event/encpUSdg6qLP6o-3D-/;jsessionid=30ebdc2dfa776794b5628c557c92#
| Item URL in elib: | https://elib.dlr.de/203643/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Additional Information: | http://www.marissa-days.org/ | ||||||||
| Title: | AI-based Oil Spill Detection Using the SAR Data from Sentinel-1 | ||||||||
| Authors: |
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| Date: | 22 February 2024 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Oceanography, SAR, AI, Oil Spill, Sentinel 1 | ||||||||
| Event Title: | International MARISSA DAY 13 | ||||||||
| Event Location: | online | ||||||||
| Event Type: | international Conference | ||||||||
| Event Date: | 22 February 2024 | ||||||||
| 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 methods | ||||||||
| Location: | Bremen , Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | ||||||||
| Deposited By: | Kaps, Ruth | ||||||||
| Deposited On: | 26 Apr 2024 12:08 | ||||||||
| Last Modified: | 11 Mar 2026 10:28 |
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