Assessing Inundation Semantic Segmentation Models Trained on High- versus Low-Resolution Labels using FloodPlanet, a Manually Labeled Multi-Sourced High-Resolution Flood Dataset
Flooding impacts more people than any other environmental hazard, causing extensive economic and social impact. Leveraging satellite data and deep learning substantially improves flood monitoring and, potentially, management. However, deep learning efforts are frequently constrained by the limited a...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Journal of Remote Sensing |
| Online Access: | https://spj.science.org/doi/10.34133/remotesensing.0575 |
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