High-resolution reconstruction for no data gaps in narrow angle camera digital terrain models using Gaussian process-latent variable model

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dc.contributor.authorPark, Young-Jinko
dc.contributor.authorMoon, SungHyunko
dc.contributor.authorChoi, Han-Limko
dc.date.accessioned2019-01-23T05:44:05Z-
dc.date.available2019-01-23T05:44:05Z-
dc.date.created2018-12-18-
dc.date.issued2018-03-20-
dc.identifier.citationLunar and Planetary Science Conference 2018-
dc.identifier.urihttp://hdl.handle.net/10203/249713-
dc.languageEnglish-
dc.publisherLunar and Planetary Institute, NASA-
dc.titleHigh-resolution reconstruction for no data gaps in narrow angle camera digital terrain models using Gaussian process-latent variable model-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameLunar and Planetary Science Conference 2018-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationThe Woodlands Waterway Marriott Hotel and Convention Center-
dc.contributor.localauthorChoi, Han-Lim-
dc.contributor.nonIdAuthorPark, Young-Jin-
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AE-Conference Papers(학술회의논문)
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