Research Studies
Spectral characteristics of volcanic rock samples of Deception Is. (Antarctica)
(on going) Projects: POSVOLDEC and HYDROCAL
- Database of spectra and hyper-spectral images of collected samples.
- Classification of Hyper-spectral images of lapilli samples of different volcanic events.
- Mineral composition and spectral properties.
Ouptuts
- Lobo, Agustin, Anna Giralt, Jordi Ibañez, and Adelina Geyer. “Analysis of Reflectance Spectra of Volcanic Rocks from Deception Island (Antarctica),” 21:1, 2019.
Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery of mine samples
(completed) Project: iTARG3T (EIT Raw Materials) through Lithica S.L.
Outputs
- Barroso, G. 2020. Hyper- and multispectral image analysis methods for mineral identification: two cases of study. MSc Thesis, Universitat Autonoma de Barcelona (Spain).
- Lobo, A., García, E., Barroso, G., Martí, D., Fernandez-Turiel, J.L., Ibáñez Insa, J., 2021. Machine-Learning classification of proximal conventional and hyper-spectral imagery. Presented at the Second Workshop : Hyperspectral Sensing meets Machine Learning and Pattern Analysis [HyperMLPA].
- 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 Sens. 2021, 13, 3258