Article Versions Notes

Lobo A, Garcia E, Barroso G, Martí D, Fernandez-Turiel J-L, Ibáñez-Insa J. Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions. Remote Sensing. 2021; 13(16):3258. https://doi.org/10.3390/rs13163258

Lobo, Agustin, Emma Garcia, Gisela Barroso, David Martí, Jose-Luis Fernandez-Turiel, and Jordi Ibáñez-Insa. 2021. "Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions" Remote Sensing 13, no. 16: 3258. https://doi.org/10.3390/rs13163258

Lobo, A., Garcia, E., Barroso, G., Martí, D., Fernandez-Turiel, J.-L., & Ibáñez-Insa, J. (2021). Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions. Remote Sensing, 13(16), 3258. https://doi.org/10.3390/rs13163258