SIGMA: Spectral Interpretation Using Gaussian Mixtures and Autoencoder

SIGMA: Spectral Interpretation Using Gaussian Mixtures and Autoencoder

Abstract Identification of unknown micro‐ and nano‐sized mineral phases is commonly achieved by analyzing chemical maps generated from hyperspectral imaging data sets, particularly scanning electron microscope—energy dispersive X‐ray spectroscopy (SEM‐EDS). However, the accuracy and reliability of m...

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Bibliographic Details
Main Authors: Po‐Yen Tung, Hassan A. Sheikh, Matthew Ball, Farhang Nabiei, Richard J. Harrison
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Geochemistry, Geophysics, Geosystems
Subjects:
machine learning
hyperspectral imaging data
energy dispersive X‐ray spectroscopy
dimensionality reduction
autoencoder
Gaussian mixture modeling
Online Access:https://doi.org/10.1029/2022GC010530

Internet

https://doi.org/10.1029/2022GC010530

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