Project Type

Faculty Scholarship

Scholarship Domain(s)

Scholarship of Discovery

Presentation Type

Presentation

Abstract

A method for modeling mixtures between two end-member spectra using principle component analysis and linear regression was presented. The presentation included results from three binary mixture data sets including orthopyroxene-clinopyroxene, kaolinite-montmorillonite, and nontronite-ferrihydrite.

Permission type

Creative Commons Attribution-Share Alike 4.0 License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.

Available for download on Thursday, January 10, 2019

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Spectral Mixture Modeling using Principle Component Analysis

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A method for modeling mixtures between two end-member spectra using principle component analysis and linear regression was presented. The presentation included results from three binary mixture data sets including orthopyroxene-clinopyroxene, kaolinite-montmorillonite, and nontronite-ferrihydrite.