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
This work is licensed under a Creative Commons Attribution 4.0 License.
PowerPoint from Scholar Week
Included in
Computational Engineering Commons, Geology Commons, Numerical Analysis and Computation Commons
Using Principle Component Analysis to Analyze Tertiary and Quaternary Spectral Mixtures
Reed 330
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.