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dc.contributor.authorBenedix-Bland, Gretchen
dc.contributor.authorChai, Kevin
dc.contributor.authorMeka, Shiv
dc.contributor.authorPaxman, Adrian
dc.contributor.authorTowner, Martin
dc.contributor.authorLagain, Anthony
dc.contributor.authorBland, Philip
dc.contributor.authorNorman, Chris
dc.contributor.authorCary, Francesca
dc.contributor.authorFairweather, J.
dc.date.accessioned2019-10-04T03:33:05Z
dc.date.available2019-10-04T03:33:05Z
dc.date.issued2019
dc.identifier.citationBenedix-Bland, G. and Chai, K. and Meka, S. and Paxman, A. and Towner, M. and Lagain, A. and Bland, P. et al. 2019. Crater Counting Using Machine Learning. In: 50th Lunar and Planetary Science Conference, 18-22 Mar 2019, The Woodlands, Texas, US.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/76456
dc.relation.urihttps://www.hou.usra.edu/meetings/lpsc2019/pdf/2140.pdf
dc.titleCrater Counting Using Machine Learning
dc.typeConference Paper
dcterms.source.conference50th Lunar and Planetary Science Conference
dc.date.updated2019-10-04T03:33:05Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access via publisher
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidLagain, Anthony [0000-0002-5391-3001]


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