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18 p, 2.4 MB Machine learning for mineral identification and ore estimation from hyperspectral imagery in tin-tungsten deposits : Simulation under indoor conditions / Lobo, Agustin (Geosciences Barcelona) ; Garcia, Emma (Lithica) ; Barroso, Gisela (Universitat Autònoma de Barcelona) ; Martí, David (Lithica) ; Fernandez-Turiel, Jose-Luis (Geosciences Barcelona) ; Ibañez-Insa, Jordi (Geosciences Barcelona)
This study aims to assess the feasibility of delineating and identifying mineral ores from hyperspectral images of tin-tungsten mine excavation faces using machine learning classification. We compiled a set of hand samples of minerals of interest from a tin-tungsten mine and analyzed two types of hyperspectral images: (1) images acquired with a laboratory set-up under close-to-optimal conditions, and (2) a scan of a simulated mine face using a field set-up, under conditions closer to those in the gallery. [...]
2021 - 10.3390/rs13163258
Remote sensing (Basel), Vol. 13, Issue 16 (August 2021) , art. 3258  

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