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

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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Bibliographic Details
Main Authors: Amit Rotem, Alexander Vidal, Katharina Pfaff, Luis Tenorio, Matthias Chung, Erik Tharalson, Thomas Monecke
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Geosciences
Subjects:
mineral exploration
hyperspectral shortwave infrared (SWIR) core scanning
automated mineralogy
supervised machine learning
CNN
ResNet
Online Access:https://www.mdpi.com/2076-3263/13/7/192

Internet

https://www.mdpi.com/2076-3263/13/7/192

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