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
Volume: 13
Main Author: Acosta, Isabel Cecilia Contreras
Khodadadzadeh, Mahdi
Tolosana-Delgado, Raimon
Gloaguen, Richard
Format: Journal Article
Language: English
Place of publication: PISCATAWAY IEEE 20200000
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 13; pp. 4214 - 4228
ORCID: 0000-0001-7899-738X
0000-0001-9847-0462
0000-0002-4758-6550
Data of publication: 20200000
ISSN: 1939-1404
2151-1535
EISSN: 2151-1535
Discipline: Geology
Engineering
Subjects:
Online Access: Fulltext
CODEN: IJSTHZ
Database: IEEE Open Access Journals and Conferences
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