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)
Ginnette Vasiliu, Engineering Management
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
Dr. Helen Chavez, Lecturer, School of Computing, Informatics, and Decision Systems Engineering, ASU
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.