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Proceedings Paper

Estimation of satellite orientation from space surveillance imagery measured with an adaptive optics telescope
Author(s): Gregory E. Wood; Michael C. Roggemann; Byron M. Welsh
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Paper Abstract

The use of the matched filter to automatically estimate the pose of a Low Earth Orbiting (LEO) satellite from imagery measured with an adaptive optics telescope is explored. The satellite pose estimation problem is studied for a broad range of atmospheric turbulence levels and target visual magnitudes. Several algorithms which use various types of image preprocessing are examined in an effort to determine the performance bounds on the matched filter for this application. Results presented here show that under normal imaging conditions, the matched filter approach proposed can be expected to yield correct pose estimations in over 80% of the trials considered. Additionally, it is shown that a significant portion of errors are between two poses that are very similar in appearance, such as views of the target about an axis of symmetry. When symmetry-based errors are allowed, correct pose estimations are obtained in over 90% of the cases tested.

Paper Details

Date Published: 23 September 1997
PDF: 8 pages
Proc. SPIE 3125, Propagation and Imaging through the Atmosphere, (23 September 1997); doi: 10.1117/12.279025
Show Author Affiliations
Gregory E. Wood, Air Force Institute of Technology (United States)
Michael C. Roggemann, Air Force Institute of Technology (United States)
Byron M. Welsh, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 3125:
Propagation and Imaging through the Atmosphere
Luc R. Bissonnette; Christopher Dainty, Editor(s)

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