TY - JOUR
T1 - Performing tomographic reconstructions from a satellite looking toward Earth. Part 1
T2 - implementation and limitations
AU - Hinton, Garrett W.
AU - Latvakoski, Harri
AU - Taylor, Michael
AU - Clarkson, Eric
AU - Kupinski, Matthew A.
AU - Hancock, Jed
N1 - Funding Information: Acknowledgment. This work was funded by the Space Dynamics Laboratory. Publisher Copyright: © 2022 Optica Publishing Group
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
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U2 - 10.1364/JOSAA.449217
DO - 10.1364/JOSAA.449217
M3 - Article
C2 - 36215613
SN - 1084-7529
VL - 39
SP - 1275
EP - 1281
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
IS - 7
ER -