Faculty Mentor(s)

Prof. Joseph Makarewicz

Project Type

Student Scholarship

Scholarship Domain(s)

Scholarship of Discovery, Scholarship of Interdisciplinary Integration

Presentation Type

Presentation

Abstract

CRISM images from Mars are expected to contain carbonates such as magnesite. Prior research has been successfully able to determine the approximate percent composition of phyllosilicates in binary lab mixtures using Principle Component Analysis (PCA). In order to expand this model to work on CRISM images, one of preliminary steps is allowing the algorithm to work on mixtures with more than two components, which was the primary purpose of this research.

Permission type

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

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Using Principle Component Analysis to Analyze Tertiary and Quaternary Spectral Mixtures

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CRISM images from Mars are expected to contain carbonates such as magnesite. Prior research has been successfully able to determine the approximate percent composition of phyllosilicates in binary lab mixtures using Principle Component Analysis (PCA). In order to expand this model to work on CRISM images, one of preliminary steps is allowing the algorithm to work on mixtures with more than two components, which was the primary purpose of this research.