Mars Image Content Classification: Three Years of NASA Deployment and
Recent Advances
- URL: http://arxiv.org/abs/2102.05011v1
- Date: Tue, 9 Feb 2021 18:26:25 GMT
- Title: Mars Image Content Classification: Three Years of NASA Deployment and
Recent Advances
- Authors: Kiri Wagstaff (1), Steven Lu (1), Emily Dunkel (1), Kevin Grimes (1),
Brandon Zhao (2), Jesse Cai (3), Shoshanna B. Cole (4), Gary Doran (1),
Raymond Francis (1), Jake Lee (1), and Lukas Mandrake (1) ((1) Jet Propulsion
Laboratory, California Institute of Technology, (2) Duke University, (3)
California Institute of Technology, (4) Space Science Institute)
- Abstract summary: We develop and deploy content-based classification and search capabilities for Mars images.
We describe the process of training, evaluating, calibrating, and deploying updates to two CNN classifiers for images collected by Mars missions.
We report on three years of deployment including usage statistics, lessons learned, and plans for the future.
- Score: 0.431223999943929
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The 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.
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