Cite
Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach.
MLA
Niu, Bowen, et al. “Solid Waste Mapping Based on Very High Resolution Remote Sensing Imagery and a Novel Deep Learning Approach.” Geocarto International, vol. 38, no. 1, Jan. 2023, pp. 1–17. EBSCOhost, https://doi.org/10.1080/10106049.2022.2164361.
APA
Niu, B., Feng, Q., Yang, J., Chen, B., Gao, B., Liu, J., Li, Y., & Gong, J. (2023). Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach. Geocarto International, 38(1), 1–17. https://doi.org/10.1080/10106049.2022.2164361
Chicago
Niu, Bowen, Quanlong Feng, Jianyu Yang, Boan Chen, Bingbo Gao, Jiantao Liu, Yi Li, and Jianhua Gong. 2023. “Solid Waste Mapping Based on Very High Resolution Remote Sensing Imagery and a Novel Deep Learning Approach.” Geocarto International 38 (1): 1–17. doi:10.1080/10106049.2022.2164361.