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dc.contributor.authorLiounis, Andrew J.
dc.contributor.authorSmall, Jeffrey L.
dc.contributor.authorSwenson, Jason C.
dc.contributor.authorLyzhoft, Joshua R.
dc.contributor.authorAshman, Benjamin W.
dc.contributor.authorGetzandanner, Kenneth M.
dc.contributor.authorMoreau, Michael C.
dc.contributor.authorAdam, Coralie D.
dc.contributor.authorLeonard, Jason M.
dc.contributor.authorNelson, Derek S.
dc.contributor.authorPelgrift, John Y.
dc.contributor.authorBos, Brent J.
dc.contributor.authorChesley, Steven R.
dc.contributor.authorHergenrother, Carl W.
dc.contributor.authorLauretta, Dante S.
dc.date.accessioned2021-04-02T23:34:13Z
dc.date.available2021-04-02T23:34:13Z
dc.date.issued2020-08
dc.identifier.citationLiounis, A. J., Small, J. L., Swenson, J. C., Lyzhoft, J. R., Ashman, B. W., Getzandanner, K. M., ... & Lauretta, D. S. (2020). Autonomous detection of particles and tracks in optical images. Earth and Space Science, 7(8), e2019EA000843.
dc.identifier.issn2333-5084
dc.identifier.doi10.1029/2019EA000843
dc.identifier.urihttp://hdl.handle.net/10150/657469
dc.description.abstractWhen optical navigation images acquired by the OSIRIS-REx (Origins, Spectral Interpretation, Resource Identification, and Security-Regolith Explorer) mission revealed the periodic ejection of particles from asteroid (101955) Bennu, it became a mission priority to quickly identify and track these objects for both spacecraft safety and scientific purposes. The large number of particles and the mission criticality rendered time-intensive manual inspection impractical. We present autonomous techniques for particle detection and tracking that were developed in response to the Bennu phenomenon but that have the capacity for general application to particles in motion about a celestial body. In an example OSIRIS-REx data set, our autonomous techniques identified 93.6% of real particle tracks and nearly doubled the number of tracks detected versus manual inspection alone.
dc.language.isoen
dc.publisherAMER GEOPHYSICAL UNION
dc.rights© 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleAutonomous Detection of Particles and Tracks in Optical Images
dc.typeArticle
dc.typetext
dc.identifier.eissn2333-5084
dc.contributor.departmentUniv Arizona, Lunar & Planetary Lab
dc.identifier.journalEARTH AND SPACE SCIENCE
dc.description.noteOpen access article
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleEARTH AND SPACE SCIENCE
refterms.dateFOA2021-04-02T23:34:13Z


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© 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License.
Except where otherwise noted, this item's license is described as © 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License.