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

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 journal › Conference article › peer-review

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 language	English
Article number	CM4E.5
Journal	Optics InfoBase Conference Papers
State	Published - 2015
Event	Computational Optical Sensing and Imaging, COSI 2015 - Arlington, United States Duration: Jun 7 2015 → Jun 11 2015

Cite this

@article{c8dcadcceb9a43b685e6174030f1ea73,

title = "Log-Likelihood Method of Reducing Noise in CRISM Along-Track Oversampled Hyperspectral Images",

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.",

author = "Kreisch, \{Christina D.\} and Arvidson, \{Raymond E.\} and O'Sullivan, \{Joseph A.\} and Ke Li and Daniel Politte and Justin Finkel and Guinness, \{Edward A.\} and Stein, \{Nathaniel T.\} and Abigail Fraeman",

note = "Publisher Copyright: {\textcopyright} 2015 OSA.; Computational Optical Sensing and Imaging, COSI 2015 ; Conference date: 07-06-2015 Through 11-06-2015",

year = "2015",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Log-Likelihood Method of Reducing Noise in CRISM Along-Track Oversampled Hyperspectral Images

AU - Kreisch, Christina D.

AU - Arvidson, Raymond E.

AU - O'Sullivan, Joseph A.

AU - Li, Ke

AU - Politte, Daniel

AU - Finkel, Justin

AU - Guinness, Edward A.

AU - Stein, Nathaniel T.

AU - Fraeman, Abigail

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85020622405

M3 - Conference article

AN - SCOPUS:85020622405

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - CM4E.5

T2 - Computational Optical Sensing and Imaging, COSI 2015

Y2 - 7 June 2015 through 11 June 2015

ER -

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

Abstract

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