Rare Phase Detections in CRISM Data at Pixel-Scale by Machine Learning Generate New Discoveries About Geology at Mars Rover Landing Sites: Jezero and NE Syrtis

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dc.contributor.authorDundar, M.
dc.contributor.authorEhlmann, B. L.
dc.contributor.authorLeask, Ellen
dc.contributor.departmentComputer and Information Science, School of Scienceen_US
dc.date.accessioned2020-11-06T16:48:36Z
dc.date.available2020-11-06T16:48:36Z
dc.date.issued2019
dc.eprint.versionFinal published versionen_US
dc.identifier.citationDundar, M., Ehlmann, B., & Leask, E. (2019). Rare Phase Detections in CRISM Data at Pixel-Scale by Machine Learning Generate New Discoveries About Geology at Mars Rover Landing Sites: Jezero and NE Syrtis. LPI, (2132), 3105.en_US
dc.identifier.urihttps://hdl.handle.net/1805/24287
dc.language.isoenen_US
dc.publisherUSRAen_US
dc.relation.journal50th Lunar and Planetary Science Conferenceen_US
dc.rightsPublisher Policyen_US
dc.sourcePublisheren_US
dc.subjectmachine learningen_US
dc.subjectMars roveren_US
dc.subjectCompact Reconnaissance Imaging Spectrometer for Marsen_US
dc.titleRare Phase Detections in CRISM Data at Pixel-Scale by Machine Learning Generate New Discoveries About Geology at Mars Rover Landing Sites: Jezero and NE Syrtisen_US
dc.typeArticleen_US
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