CaltechAUTHORS
  A Caltech Library Service

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

Wagstaff, Kiri and Lu, Steven and Dunkel, Emily and Grimes, Kevin and Zhao, Brandon and Cai, Jesse and Cole, Shoshanna B. and Doran, Gary and Francis, Raymond and Lee, Jake and Mandrake, Lukas (2021) Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. In: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence , Palo Alto, CA, pp. 15204-15213. ISBN 978-1-57735-866-4. https://resolver.caltech.edu/CaltechAUTHORS:20211021-165421805

[img] PDF - Submitted Version
See Usage Policy.

3MB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20211021-165421805

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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://ojs.aaai.org/index.php/AAAI/article/view/17784PublisherArticle
https://arxiv.org/abs/2102.05011arXivDiscussion Paper
ORCID:
AuthorORCID
Wagstaff, Kiri0000-0003-4401-5506
Dunkel, Emily0000-0002-9105-5458
Doran, Gary0000-0003-1233-2224
Additional Information:© 2021 Association for the Advancement of Artificial Intelligence. Published 2021-05-18. We thank Michael McAuley from the PDS Imaging Node for the continuing support of this work and Anil Natha for assistance with the Google Analytics results. We also thank the numerous volunteers who helped label the Mars images. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. This publication uses data generated via the Zooniverse.org platform, development of which is funded by generous support, including a Global Impact Award from Google, and by a grant from the Alfred P. Sloan Foundation.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
GoogleUNSPECIFIED
Alfred P. SloanUNSPECIFIED
Subject Keywords:Image Classification, Class Discovery, Classifier Calibration, Mars
Record Number:CaltechAUTHORS:20211021-165421805
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211021-165421805
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111573
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:22 Oct 2021 23:01
Last Modified:26 Oct 2021 19:17

Repository Staff Only: item control page