All-Sky Image Fusion for a Synoptic Survey Telescope in Arctic Antarctic Domains

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Author(s)
Grøtte, Mariusz E.
Virani, Shahzad
Holzinger, Marcus J.
Register, Andrew
Perez, Claudio A.
Tapia, Juan E.
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Abstract
Near-Earth object (NEO) detection, transient astronomical event detection, and Space Situational Awareness (SSA) support are all provided by wide-field, high cadence synoptic telescope surveys. Many such exquisite and monolithic synoptic surveys achieve impressive performance and are certainly changing these application areas. In the past 15 years Raven-class telescopes have made a clear case for the utility of commercial-off-the-shelf systems in SSA. This paper documents the initial efforts and next steps for the Omnidirectional Space Situational Awareness (OmniSSA) array, a wide-field-of-view synoptic survey system that leverages the Raven-class telescope paradigm. The approach utilizes multiple overlapping wide field-of-view sensors with post-processing super resolution and image stacking techniques to generate synthetic images equivalent to larger wide field-of-view systems. The synthetic array offers potential to utilize a plurality of components that are individually low cost and commercial-off- the-shelf. A brief survey of synoptic survey systems is presented, followed by a description of the current hardware implementation of the OmniSSA array and preliminary out-of-the-box results for baseline OmniSSA camera SR and image stacking routines.
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Date
2016-09
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Text
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Paper
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