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github.com/aryashah2k/SmokeU-Net-Smoke-Column-Segmentation-from-Satellite-Imagery-using-Deep-U-Net-Architecture
A U-Net deep learning model for automated smoke plume segmentation in satellite imagery. The model processes multi-spectral satellite data to generate precise smoke column masks, improving upon manual detection methods. Results demonstrate high accuracy in smoke plume detection with 99.04% validation accuracy and 0.91 Dice coefficient.
https://github.com/aryashah2k/SmokeU-Net-Smoke-Column-Segmentation-from-Satellite-Imagery-using-Deep-U-Net-Architecture
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