Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances

• DOI: 10.1609/aaai.v35i17.17784
• Publication Date: 2022-09-08T20:30:10Z
• Authors: Kiri Wagstaff; Steven Lu; Emily Dunkel; Kevin Grimes; Brandon Zhao; Jesse Cai; Shoshanna B. Cole; Gary Doran; Raymond Francis; Jake Lee; Lukas Mandrake
• Keywords: FOS: Computer and information sciences; Computer Science - Machine Learning; Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV); 0103 physical sciences; Computer Science - Computer Vision and Pattern Recognition; FOS: Electrical engineering, electronic engineering, information engineering; Electrical Engineering and Systems Science - Image and Video Processing; 01 natural sciences; Machine Learning (cs.LG)

The NASA Planetary Data System hosts millions of images acquired from the planet Mars. To help users quickly find interest, we have developed and deployed content-based classification search capabilities for Mars orbital surface images. systems are publicly accessible using PDS Image Atlas. We describe process training, evaluating, calibrating, deploying updates to two CNN classifiers collected by missions. also report on three years deployment including usage statistics, lessons learned, plans future.