Digital twin-enabled post-disaster damage and recovery monitoring with deep learning: leveraging transfer learning, attention mechanisms, and explainable AI
This study presents a novel approach to combine Digital Twins (DTs) with advanced deep learning (DL) models to deliver accurate, timely and actionable insights. Very high-resolution multi-temporal satellite images from various platforms were employed, covering pre-disaster, immediate post-disaster,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2485329 |
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