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

Garrett W. Hinton; Harri Latvakoski; Michael Taylor; Eric Clarkson; Matthew A. Kupinski; Jed Hancock

doi:10.1364/JOSAA.449217

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

Garrett W. Hinton
, Harri Latvakoski
, Michael Taylor
, Eric Clarkson
, Matthew A. Kupinski
, Jed Hancock

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

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.

Original language	English (US)
Pages (from-to)	1275-1281
Number of pages	7
Journal	Journal of the Optical Society of America A: Optics and Image Science, and Vision
Volume	39
Issue number	7
DOIs	https://doi.org/10.1364/JOSAA.449217
State	Published - Jul 2022

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Computer Vision and Pattern Recognition

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10.1364/JOSAA.449217

Cite this

Performing tomographic reconstructions from a satellite looking toward Earth. Part 1: implementation and limitations. / Hinton, Garrett W.; Latvakoski, Harri; Taylor, Michael et al.
In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 39, No. 7, 07.2022, p. 1275-1281.

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

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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.",

author = "Hinton, \{Garrett W.\} and Harri Latvakoski and Michael Taylor and Eric Clarkson and Kupinski, \{Matthew A.\} and Jed Hancock",

note = "Funding Information: Acknowledgment. This work was funded by the Space Dynamics Laboratory. Publisher Copyright: {\textcopyright} 2022 Optica Publishing Group",

year = "2022",

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

Abstract

ASJC Scopus subject areas

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