Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data

L. He; J. A. O'Sullivan; D. V. Politte; R. E. Arvidson

doi:10.1364/3D.2017.JTu5A.16

Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data

L. He
, J. A. O'Sullivan
, D. V. Politte
, R. E. Arvidson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The regularized maximum log-likelihood method improves resolution and de-noises Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) hyperspectral date-cubes. The method accounts for spatially nonuniform samples acquired in an along-track oversampled mode to avoid spatial artifacts.

Original language	English
Title of host publication	3D Image Acquisition and Display
Subtitle of host publication	Technology, Perception and Applications, 3D 2017
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580293
DOIs	https://doi.org/10.1364/3D.2017.JTu5A.16
State	Published - 2017
Event	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017 - San Francisco, United States Duration: Jun 26 2017 → Jun 29 2017

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F44-3D 2017
ISSN (Electronic)	2162-2701

Conference

Conference	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017
Country/Territory	United States
City	San Francisco
Period	06/26/17 → 06/29/17

Access to Document

10.1364/3D.2017.JTu5A.16

Cite this

He, L., O'Sullivan, J. A., Politte, D. V., & Arvidson, R. E. (2017). Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data. In 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017 (Optics InfoBase Conference Papers; Vol. Part F44-3D 2017). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/3D.2017.JTu5A.16

@inproceedings{68a486c902574697bd3b9688ec78dbe9,

title = "Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data",

abstract = "The regularized maximum log-likelihood method improves resolution and de-noises Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) hyperspectral date-cubes. The method accounts for spatially nonuniform samples acquired in an along-track oversampled mode to avoid spatial artifacts.",

author = "L. He and O'Sullivan, \{J. A.\} and Politte, \{D. V.\} and Arvidson, \{R. E.\}",

note = "Publisher Copyright: {\textcopyright} 2016 OSA.; 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017 ; Conference date: 26-06-2017 Through 29-06-2017",

year = "2017",

doi = "10.1364/3D.2017.JTu5A.16",

language = "English",

isbn = "9781943580293",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "3D Image Acquisition and Display",

}

He, L, O'Sullivan, JA, Politte, DV & Arvidson, RE 2017, Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data. in 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017. Optics InfoBase Conference Papers, vol. Part F44-3D 2017, Optica Publishing Group (formerly OSA), 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017, San Francisco, United States, 06/26/17. https://doi.org/10.1364/3D.2017.JTu5A.16

Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data. / He, L.; O'Sullivan, J. A.; Politte, D. V. et al.
3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017. Optica Publishing Group (formerly OSA), 2017. (Optics InfoBase Conference Papers; Vol. Part F44-3D 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data

AU - He, L.

AU - O'Sullivan, J. A.

AU - Politte, D. V.

AU - Arvidson, R. E.

PY - 2017

Y1 - 2017

N2 - The regularized maximum log-likelihood method improves resolution and de-noises Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) hyperspectral date-cubes. The method accounts for spatially nonuniform samples acquired in an along-track oversampled mode to avoid spatial artifacts.

AB - The regularized maximum log-likelihood method improves resolution and de-noises Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) hyperspectral date-cubes. The method accounts for spatially nonuniform samples acquired in an along-track oversampled mode to avoid spatial artifacts.

UR - https://www.scopus.com/pages/publications/85026224761

U2 - 10.1364/3D.2017.JTu5A.16

DO - 10.1364/3D.2017.JTu5A.16

M3 - Conference contribution

AN - SCOPUS:85026224761

SN - 9781943580293

T3 - Optics InfoBase Conference Papers

BT - 3D Image Acquisition and Display

PB - Optica Publishing Group (formerly OSA)

T2 - 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2017

Y2 - 26 June 2017 through 29 June 2017

ER -

Resolution Analysis of regularized maximum log-likelihood reconstruction method for CRISM hyperspectral data

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