SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping
The increasing frequency of hazardous events due to climate change underscores an urgent need for effective hazard monitoring systems. Current approaches rely on expensive labelled datasets, struggle to distinguish hazardous changes from seasonal changes, or require multiple observations for to conf...
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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/11033198/ |
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