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Proceedings Paper

Improved near-earth object detection using dynamic logic
Author(s): Thomas G. Allen; Alan C. O'Connor; Igor Ternovskiy
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Paper Abstract

Current efforts aimed at detecting and identifying Near Earth Objects (NEOs) that pose potential risks to Earth use moderately sized telescopes combined with image processing algorithms to detect the motion of these objects. The search strategies of such systems involve multiple revisits at given intervals between observations to the same area of the sky so that objects that appear to move between the observations can be identified against the static star field. Dynamic Logic algorithm, derived from Modeling Field Theory, has made significant improvements in detection, tracking, and fusion of ground radar images. As an extension to this, the research in this paper will examine Dynamic Logic's ability to detect NEOs with minimal human-in-the-loop intervention. Although the research in this paper uses asteroids for the automation detection, the ultimate extension to this study is for detecting orbital debris. Many asteroid orbits are well defined, so they will serve as excellent test cases for our new algorithm application.

Paper Details

Date Published: 29 May 2012
PDF: 11 pages
Proc. SPIE 8408, Cyber Sensing 2012, 84080L (29 May 2012); doi: 10.1117/12.921223
Show Author Affiliations
Thomas G. Allen, Air Force Research Lab. (United States)
Alan C. O'Connor, Air Force Research Lab. (United States)
Igor Ternovskiy, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8408:
Cyber Sensing 2012
Igor V. Ternovskiy; Peter Chin, Editor(s)

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