Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework

Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework

The analysis of drill-core samples is one of the most important steps in the mining industry for the exploration and discovery of mineral resources. Geochemical assays are a common approach to represent the abundance of different chemical elements and aid at quantifying the concentrations of the imp...

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Bibliographic Details
Main Authors: Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Raimon Tolosana-Delgado, Richard Gloaguen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Data integration
drill-cores
geochemical data
hyperspectral data
machine learning (ML)
superpixel segmentation
Online Access:https://ieeexplore.ieee.org/document/9146200/

Internet

https://ieeexplore.ieee.org/document/9146200/

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