Regularization of Mars Reconnaissance Orbiter CRISM along‐track oversampled hyperspectral imaging observations of Mars

Joseph O'Sullivan; C. D. Kreisch; R. E. Arvidson; D. V. Politte; L. He; N. T. Stein; J. Finkel; E. A. Guinness; M. G. A. Lapôtred

doi:10.1016/j.icarus.2016.09.033

Regularization of Mars Reconnaissance Orbiter CRISM along‐track oversampled hyperspectral imaging observations of Mars

Joseph O'Sullivan, C. D. Kreisch, R. E. Arvidson, D. V. Politte, L. He, N. T. Stein, J. Finkel, E. A. Guinness, M. G. A. Lapôtred

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Icarus
Volume	282
DOIs	https://doi.org/10.1016/j.icarus.2016.09.033
State	Published - Jan 15 2017

Keywords

Mars
mineralogy
image processing
data reduction techniques
spectroscopy

Disciplines

Engineering
Electrical and Computer Engineering

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10.1016/j.icarus.2016.09.033License: Unspecified

Cite this

@article{2abfc10e377b443da4109d9587a58831,

title = "Regularization of Mars Reconnaissance Orbiter CRISM along‐track oversampled hyperspectral imaging observations of Mars",

keywords = "Mars, mineralogy, image processing, data reduction techniques, spectroscopy",

author = "Joseph O'Sullivan and Kreisch, {C. D.} and Arvidson, {R. E.} and Politte, {D. V.} and L. He and Stein, {N. T.} and J. Finkel and Guinness, {E. A.} and Lap{\^o}tred, {M. G. A.}",

note = "A maximum log-likelihood algorithm regularizes CRISM oversampled images. * CRISM data are regularized to 12 m/pixel, compensating for spatial & spectral blur. * CRISM data are used to predict mineralogy for dunes also examined by Curiosity. * CRISM data are used to map smectites for comparison to Opportunity's measurements.",

year = "2017",

month = jan,

day = "15",

doi = "10.1016/j.icarus.2016.09.033",

language = "American English",

volume = "282",

journal = "Icarus",

}

TY - JOUR

T1 - Regularization of Mars Reconnaissance Orbiter CRISM along‐track oversampled hyperspectral imaging observations of Mars

AU - O'Sullivan, Joseph

AU - Kreisch, C. D.

AU - Arvidson, R. E.

AU - Politte, D. V.

AU - He, L.

AU - Stein, N. T.

AU - Finkel, J.

AU - Guinness, E. A.

AU - Lapôtred, M. G. A.

N1 - A maximum log-likelihood algorithm regularizes CRISM oversampled images. * CRISM data are regularized to 12 m/pixel, compensating for spatial & spectral blur. * CRISM data are used to predict mineralogy for dunes also examined by Curiosity. * CRISM data are used to map smectites for comparison to Opportunity's measurements.

PY - 2017/1/15

Y1 - 2017/1/15

KW - Mars

KW - mineralogy

KW - image processing

KW - data reduction techniques

KW - spectroscopy

UR - https://www.sciencedirect.com/science/article/pii/S0019103516301579

U2 - 10.1016/j.icarus.2016.09.033

DO - 10.1016/j.icarus.2016.09.033

M3 - Article

VL - 282

JO - Icarus

JF - Icarus

ER -

Regularization of Mars Reconnaissance Orbiter CRISM along‐track oversampled hyperspectral imaging observations of Mars

Keywords

Disciplines

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