Predicting Post-Disaster Damage Levels and Generating Post-Disaster Imagery from Pre-Disaster Satellite Images Using Pix2Pix
Accurately forecasting disaster impacts before they occur is crucial for effective emergency preparedness and response. This study presents a dual approach utilizing the Pix2Pix conditional Generative Adversarial Network (cGAN) to leverage pre-disaster satellite imagery for enhanced disaster risk ma...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/861/2025/isprs-archives-XLVIII-G-2025-861-2025.pdf |
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