Weighted ensemble approach for smoke-like scene classification in remote sensing images
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03399-4.pdf
Reference37 articles.
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3. Zhao, L., Liu, J., Peters, S., Li, J., Oliver, S., Mueller, N.: Investigating the impact of using IR bands on early fire smoke detection from landsat imagery with a lightweight CNN model. Remote Sens. 14(13), 3047 (2022)
4. Alamgir, N., Nguyen, K., Chandran, V., Boles, W.: Combining multi-channel color space with local binary co-occurrence feature descriptors for accurate smoke detection from surveillance videos. Fire Saf. J. 102, 1–10 (2018)
5. Filonenko, A., Hernández, D.C., Jo, K.H.: Smoke detection for surveillance cameras based on color, motion, and shape. In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) (pp. 182-185). IEEE(2016)
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