Reduction of Instrument-dependent Noise in Galileo NIMS Data of the Jovian Satellite Ganymede Using the Principle Component Analysis

Details Reduction of Instrument-dependent Noise in Galileo NIMS Data of the Jovian Satellite Ganymede Using the Principle Component Analysis Reduction of Instrument-dependent Noise in Galileo NIMS Data of the Jovian Satellite Ganymede Using the Principle Component Analysis

Mar 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007lpi....38.1950s&link_type=abstract

38th Lunar and Planetary Science Conference, (Lunar and Planetary Science XXXVIII), held March 12-16, 2007 in League City, Texas

Physics

Scientific paper

Applying the PCA to Galileo-NIMS data was found to be effective to
remove instrument-dependent noise from each individual NIMS spectrum in
such a way that each spectrum is still quantitatively analyzable.

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