Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
Keywords:Image Classification, Class Discovery, Classifier Calibration, Mars
AbstractThe NASA Planetary Data System hosts millions of images acquired from the planet Mars. To help users quickly find images of interest, we have developed and deployed content-based classification and search capabilities for Mars orbital and surface images. The deployed systems are publicly accessible using the PDS Image Atlas. We describe the process of training, evaluating, calibrating, and deploying updates to two CNN classifiers for images collected by Mars missions. We also report on three years of deployment including usage statistics, lessons learned, and plans for the future.
How to Cite
Wagstaff, K., Lu, S., Dunkel, E., Grimes, K., Zhao, B., Cai, J., Cole, S. B., Doran, G., Francis, R., Lee, J., & Mandrake, L. (2021). Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15204-15213. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17784
IAAI Technical Track on Highly Innovative Applications of AI