Iron Meteorite Imaging System – CSULA
INSTITUTION
California State University, Los Angeles
CLASS
Cobalt Class (2019 – 2020)
STUDENT TEAM
Benjamin Campos, Electrical Engineering
Angel Gonzales, Mechanical Engineering
Raymond Lu, Mechanical Engineering
Vincent Rich, Electrical Engineering
Scientific & Technical Guidance
Dr. Laurence Garvie, Research Professor, School of Earth and Space Exploration, ASU
Jose Luis Perez, CSULA
Dr. Ofelia Quintero, Jet Propulsion Laboratory
ACADEMIC GUIDANCE
Dr. Ted Nye, Instructor, Department of Electrical and Computer Engineering, CSULA
Dr. Mike Thorburn, Director of Capstone Senior Design, CSULA
PROJECT DESCRIPTION
To prepare for scientific investigations at Psyche, an imaging system is sought to help determine the bulk chemical compositions of iron meteorites from their optical images. 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 that can replicate the human expertise. To work towards this goal, teams are designing and building an imaging system to be used to image meteorite samples so that each image has the exact same lighting and image quality.