Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Ajith, M., & Martínez-Ramón, M. (2019). Unsupervised segmentation of fire and smoke from infra-red videos. IEEE Access, 16(7), 182381–182394.
2. Akbari Asanjan, A., Memarzadeh, M., Lott, P. A., Rieffel, E., & Grabbe, S. (2023). Probabilistic wildfire segmentation using supervised deep generative model from satellite imagery. Remote Sensing, 15(11), 2718. https://doi.org/10.3390/rs15112718
3. Bo, W., Liu, J., Fan, X., Tjahjadi, T., Ye, Q., & Fu, L. (2022). BASNet: Burned area segmentation network for real-time detection of damage maps in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing., 8(60), 1–3.
4. Celik, T., & Demirel, H. (2009). Fire detection in video sequences using a generic color model. Fire Safety Journal, 44(2), 147–158.
5. Chaoxia, C., Shang, W., & Zhang, F. (2020). Information-guided flame detection based on faster R-CNN. IEEE Access, 24(8), 58923–58932.