AINeutralarXiv – CS AI · Mar 36/104
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Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
Researchers developed a lightweight AI model using unsupervised deep learning to detect conflict-related fires in Sudan within 24-30 hours using commercially available satellite imagery. The Variational Auto-Encoder (VAE) approach outperformed traditional methods in identifying burn signatures from 4-band Planet Labs satellite data at 3-meter resolution.
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