Li, X.; Li, H.; Dai, J.; Liu, K.; Wang, G.; Nie, S.; Zhang, Z.
MRV-YOLO: A Multi-Channel Remote Sensing Object Detection Method for Identifying Reclaimed Vegetation in Hilly and Mountainous Mining Areas. Forests 2025, 16, 1536.
https://doi.org/10.3390/f16101536
AMA Style
Li X, Li H, Dai J, Liu K, Wang G, Nie S, Zhang Z.
MRV-YOLO: A Multi-Channel Remote Sensing Object Detection Method for Identifying Reclaimed Vegetation in Hilly and Mountainous Mining Areas. Forests. 2025; 16(10):1536.
https://doi.org/10.3390/f16101536
Chicago/Turabian Style
Li, Xingmei, Hengkai Li, Jingjing Dai, Kunming Liu, Guanshi Wang, Shengdong Nie, and Zhiyu Zhang.
2025. "MRV-YOLO: A Multi-Channel Remote Sensing Object Detection Method for Identifying Reclaimed Vegetation in Hilly and Mountainous Mining Areas" Forests 16, no. 10: 1536.
https://doi.org/10.3390/f16101536
APA Style
Li, X., Li, H., Dai, J., Liu, K., Wang, G., Nie, S., & Zhang, Z.
(2025). MRV-YOLO: A Multi-Channel Remote Sensing Object Detection Method for Identifying Reclaimed Vegetation in Hilly and Mountainous Mining Areas. Forests, 16(10), 1536.
https://doi.org/10.3390/f16101536