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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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Last synced: 2 days ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/aryashah2k/SmokeU-Net-Smoke-Column-Segmentation-from-Satellite-Imagery-using-Deep-U-Net-Architecture
- Owner: aryashah2k
- License: mit
- Created: 2024-11-29T13:30:58.000Z (23 days ago)
- Default Branch: main
- Last Pushed: 2024-11-29T14:43:37.000Z (23 days ago)
- Last Synced: 2024-12-16T15:33:03.150Z (6 days ago)
- Language: Jupyter Notebook
- Size: 14 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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