Article Versions Notes

Zhang C, Yi M, Ye F, Xu Q, Li X, Gan Q. Application and Evaluation of Deep Neural Networks for Airborne Hyperspectral Remote Sensing Mineral Mapping: A Case Study of the Baiyanghe Uranium Deposit in Northwestern Xinjiang, China. Remote Sensing. 2022; 14(20):5122. https://doi.org/10.3390/rs14205122

Zhang, Chuan, Min Yi, Fawang Ye, Qingjun Xu, Xinchun Li, and Qingqing Gan. 2022. "Application and Evaluation of Deep Neural Networks for Airborne Hyperspectral Remote Sensing Mineral Mapping: A Case Study of the Baiyanghe Uranium Deposit in Northwestern Xinjiang, China" Remote Sensing 14, no. 20: 5122. https://doi.org/10.3390/rs14205122

Zhang, C., Yi, M., Ye, F., Xu, Q., Li, X., & Gan, Q. (2022). Application and Evaluation of Deep Neural Networks for Airborne Hyperspectral Remote Sensing Mineral Mapping: A Case Study of the Baiyanghe Uranium Deposit in Northwestern Xinjiang, China. Remote Sensing, 14(20), 5122. https://doi.org/10.3390/rs14205122