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    Performing tomographic reconstructions from a satellite looking toward Earth. Part 1: implementation and limitations

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    Name:
    Performing Tomographic Reconst ...
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    824.4Kb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
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    Author
    Hinton, Garrett W.
    Latvakoski, Harri
    Taylor, Michael
    Clarkson, Eric
    Kupinski, Matthew A.
    Hancock, Jed
    Affiliation
    College of Optical Sciences, University of Arizona
    Department of Medical Imaging, Center for Gamma-Ray Imaging, University of Arizona
    Issue Date
    2022-06-30
    
    Metadata
    Show full item record
    Publisher
    Optica Publishing Group
    Citation
    Hinton, G. W., Latvakoski, H., Taylor, M., Clarkson, E., Kupinski, M. A., & Hancock, J. (2022a). Performing tomographic reconstructions from a satellite looking toward Earth. Part 1: Implementation and limitations. Journal of the Optical Society of America A: Optics and Image Science, and Vision, 39(7), 1275–1281.
    Journal
    Journal of the Optical Society of America A: Optics and Image Science, and Vision
    Rights
    © 2022 Optica Publishing Group.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    For imaging instruments that are in space looking toward the Earth, there are a variety of nuisance signals that can get in the way of performing certain imaging tasks, such as reflections from clouds, reflections from the ground, and emissions from the OH-airglow layer. A method for separating these signals is to perform tomographic reconstructions from the collected data. A lingering struggle for this method is altitude-axis resolution and different methods for helping with it are discussed. An implementation of the maximum likelihood expectation maximization algorithm is given and analyzed.
    Note
    12 month embargo; published online: 02 May 2022
    ISSN
    1084-7529
    EISSN
    1520-8532
    DOI
    10.1364/josaa.449217
    Version
    Final accepted manuscript
    Sponsors
    Space Dynamics Laboratory
    ae974a485f413a2113503eed53cd6c53
    10.1364/josaa.449217
    Scopus Count
    Collections
    UA Faculty Publications

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