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Abstracts Earth and Environmental Sciences
Machine-supported mineralogical interpretations from hyperspectral and geochemical datasets
by ANGELA AFONSO RODRIGUES
| Institution: | Monash University |
|---|---|
| Department: | Science |
| Degree: | |
| Year: | 2022 |
| Keywords: | Geology not elsewhere classified; Other earth sciences not elsewhere classified; Applied computing not elsewhere classified; hyperspectral data; geochemistry; data science; machine learning; Bayesian statistics; mineralogy; porphyry copper systems; modal |
| Posted: | 3/25/2025 |
| Record ID: | 2251368 |
| Full text PDF: | https://doi.org/10.26180/20388174.v1 |
Abstract
Geologists face the challenge of analysing large volumes of complex, multivariate and uncertain datasets. This contribution focusses on the creation of machine supported workflows for the analysis of multivariate datasets in order to identify mineralogy, and to support geologists to objectively analyse these datasets.
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