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Meteorite Image Analysis System – Tempe

INSTITUTION

Arizona State University (Tempe Campus)

CLASS

Cobalt Class (2019 – 2020)

STUDENT TEAM

Jacob Peters, Computer Science
John Shaeffer, Computer Science
Michael St.Onge, Computer Science
Kohl Stark, Computer Science (Cybersecurity)
Engineering Management, Computer Science

SCIENTIFIC & TECHNICAL GUIDANCE

Dr. Laurence Garvie, Research Professor, School of Earth and Space Exploration, ASU
Dr. Tim McCoy, Chair, Smithsonian Curator of Meteorites

ACADEMIC GUIDANCE

Dr. Ming Zhao, Associate Professor, ASU School of Computing, Informatics, and Decision Systems Engineering

PROJECT DESCRIPTION

Meteorite experts use their knowledge to recognize the inclusions in meteorites based primarily on color, texture, and reflectivity. A major challenge of this project is to translate this human knowledge to an automated recognition system the can replicate the human expertise. To work towards this goal, teams are working to create software to do planimetric analysis of images of iron meteorite samples to help determine their bulk chemical compositions. An additional challenge to this project is how to process and store large numbers of very large image files.