Presentation Title
Spectral Mixture Modeling using Principle Component Analysis
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
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Included in
Geochemistry Commons, Instrumentation Commons, Signal Processing Commons, Soil Science Commons
Spectral Mixture Modeling using Principle Component Analysis
Reed 330
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.