Evaluation of Post Hoc Uncertainty Quantification Approaches for Flood Detection From SAR Imagery
Deep neural networks are the current state-of-the-art for analysis of remote sensing imagery. While they often provide accurate results, they are usually prone to be overconfident with respect to their predictions. In particular when these predictions are used by human decision makers in high stake...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11028630/ |
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