Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph

Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph

We map the surface of Pluto using an unsupervised machine-learning technique using the near-infrared observations of the LEISA/Ralph instrument on board NASA’s New Horizons spacecraft. The principal-component-reduced Gaussian mixture model was implemented to investigate the geographic distribution o...

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Bibliographic Details
Main Authors: A. Emran, C. M. Dalle Ore, C. J. Ahrens, M. K. H. Khan, V. F. Chevrier, D. P. Cruikshank
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Planetary Science Journal
Subjects:
Pluto
Surface ices
Astronomy data analysis
Astrostatistics techniques
Astroinformatics
Online Access:https://doi.org/10.3847/PSJ/acb0cc

Internet

https://doi.org/10.3847/PSJ/acb0cc

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