Achanta R., Süsstrunk S. (2017). "Superpixels and polygons using simple non-iterative clustering", pp. 4895-4904

Akhloufi M. A., Couturier A., Castro N. A. (2021). "Unmanned aerial vehicles for wildland fires: Sensing, perception, cooperation and assistance", Drones, Vol. 5, No. 1

Ghali R., Akhloufi M. A. (2023a). "Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation", Remote Sensing, Vol. 15, No. 7

Ghali R., Akhloufi M. A. (2023b). "Deep learning approaches for wildland fires using satellite remote sensing data: Detection, mapping, and prediction", Fire, Vol. 6, No. 5

Kulinan A. S., Cho Y., Park M., Park S. (2024). "Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth Engine", International Journal of Applied Earth Observation and Geoinformation, Vol. 126

Rajagopal B. G., Monish K. S., R D., R JK. (2025). "Hybrid learning framework for synergistic fusion of SAR and optical UAV data in wildfire surveillance", Scientific Reports, Vol. 15

Sung J. H., Ryu Y., Seong K.-W. (2022). "Deep learning -based prediction of fire occurrence with hydroclimatic condition and drought phase over South Korea", KSCE Journal of Civil Engineering, Vol. 26, No. 4, pp. 2002-2012

Tran D. Q., Park M., Jung D., Park S. (2020). "Damage-map estimation using UAV images and deep learning algorithms for disaster management system", Remote Sensing, Vol. 12, No. 24

Xie E., Wang W., Yu Z., Anandkumar A., Alvarez J. M., Luo P. (2021). "SegFormer: Simple and efficient design for semantic segmentation with transformers", Advances in Neural Information Processing Systems (NeurIPS)

Yoo J., Han J., Kim D., Kim T.-W. (2021). "Evaluating impact factors of forest fire occurrences in Gangwon Province using PLS-SEM: A focus on drought and meteorological factors", KSCE Journal of Civil and Environmental Engineering Research, Vol. 41, No. 3, pp. 209-217