Interpretation of Hyperspectral Shortwave Infrared Core Scanning Data Using SEM-Based Automated Mineralogy: A Machine Learning Approach

Understanding the mineralogy and geochemistry of the subsurface is key when assessing and exploring for mineral deposits. To achieve this goal, rapid acquisition and accurate interpretation of drill core data are essential. Hyperspectral shortwave infrared imaging is a rapid and non-destructive anal...

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Detalhes bibliográficos

Principais autores:	Amit Rotem, Alexander Vidal, Katharina Pfaff, Luis Tenorio, Matthias Chung, Erik Tharalson, Thomas Monecke
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-06-01
Colecção:	Geosciences
Assuntos:	mineral exploration hyperspectral shortwave infrared (SWIR) core scanning automated mineralogy supervised machine learning CNN ResNet
Acesso em linha:	https://www.mdpi.com/2076-3263/13/7/192
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