Automated Orbital Mapping
The Automated Orbital Mapping project is developing machine vision techniques to extract features from hyperspectral imagery of Mars. Then machine learning is applied to interpret and classify the geology of the terrain. The goal is to improve the speed and rigor by which orbital imagery can be applied to geologic analysis of planetary surfaces.
This three year project is supported by the NASA Advanced Information Systems program of the Science Mission Directorate.
dsw [AT] ri.cmu.edu