Perceiving Multidimensional Disaster Damages from Street-View Images Using Visual-Language Models https://doi.org/10.5194/ica-abs-10-310-2025, 2025.
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Apr 7, 2026 - Jupyter Notebook
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disaster-damage-assessment
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AI-powered disaster damage assessment from satellite images using Vision Transformers and U-Net.
python ai computer-vision deep-learning pytorch remote-sensing satellite-imagery semantic-segmentation geospatial-analysis unet-pytorch vision-transformer disaster-damage-assessment
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Dec 16, 2025 - TypeScript
AI-powered post-disaster infrastructure damage assessment platform using satellite imagery and deep learning (ChangeFormer with dual-encoder architecture). Built using the xView2 open-source disaster dataset, applying pre- and post-disaster satellite image pairs for accurate damage segmentation.
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Feb 22, 2026 - Python
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