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Karmakar, Chandrabali and Pogorzelski, David and Arlinghaus, Peter and Camero, Andres and Zhang, Wenyan (2024) Trustworthy Unsupervised ML Model for Drawing Coastlines and Creating Benchmark Dataset. Helmholtz Imaging Annual Conference 2024, 2024-05-14 - 2024-05-15, Heidelberg.
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Abstract
The research focuses in use of trustworthy AI models in remote sensing image segmentation. An unsupervised model with uncertainty quantification capabilities has been used to label images. the model helps reducing labelling effort by tactful use of uncertainty score. A visual tool is also developed to support the work.
| Item URL in elib: | https://elib.dlr.de/208589/ | ||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||
| Title: | Trustworthy Unsupervised ML Model for Drawing Coastlines and Creating Benchmark Dataset | ||||||||||||||||||||||||
| Authors: |
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| Date: | 15 May 2024 | ||||||||||||||||||||||||
| Refereed publication: | No | ||||||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||
| Keywords: | Trustworthy AI, Unsupervised model, Uncertainty quantification | ||||||||||||||||||||||||
| Event Title: | Helmholtz Imaging Annual Conference 2024 | ||||||||||||||||||||||||
| Event Location: | Heidelberg | ||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||
| Event Start Date: | 14 May 2024 | ||||||||||||||||||||||||
| Event End Date: | 15 May 2024 | ||||||||||||||||||||||||
| Organizer: | Helmholtz Association | ||||||||||||||||||||||||
| 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 | ||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||||||||||||||
| Deposited By: | Karmakar, Chandrabali | ||||||||||||||||||||||||
| Deposited On: | 14 Nov 2024 13:58 | ||||||||||||||||||||||||
| Last Modified: | 25 Feb 2025 15:18 |
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