Log-Likelihood Method of Reducing Noise in CRISM Along-Track Oversampled Hyperspectral Images

  • Christina D. Kreisch
  • , Raymond E. Arvidson
  • , Joseph A. O'Sullivan
  • , Ke Li
  • , Daniel Politte
  • , Justin Finkel
  • , Edward A. Guinness
  • , Nathaniel T. Stein
  • , Abigail Fraeman

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

CRISM hyperspectral measurements are modeled accounting for spatial and spectral pointspread functions. Surface hyperspectral image recovery is ill-posed. Penalized maximum likelihood estimates yield reduced noise in each spectrum estimate, allowing identification of subtle spectral absorptions.

Original languageEnglish
Article numberCM4E.5
JournalOptics InfoBase Conference Papers
StatePublished - 2015
EventComputational Optical Sensing and Imaging, COSI 2015 - Arlington, United States
Duration: Jun 7 2015Jun 11 2015

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