Estimation of satellite orientation from space surveillance imagery measured with an adaptive optics telescope

Gregory E. Wood; Michael C. Roggemann; Byron M. Welsh

doi:10.1117/12.279025

23 September 1997 Estimation of satellite orientation from space surveillance imagery measured with an adaptive optics telescope

Gregory E. Wood, Michael C. Roggemann, Byron M. Welsh

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Proceedings Volume 3125, Propagation and Imaging through the Atmosphere; (1997) https://doi.org/10.1117/12.279025
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

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Gregory E. Wood, Michael C. Roggemann, and Byron M. Welsh "Estimation of satellite orientation from space surveillance imagery measured with an adaptive optics telescope", Proc. SPIE 3125, Propagation and Imaging through the Atmosphere, (23 September 1997); https://doi.org/10.1117/12.279025

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KEYWORDS

Satellites

Image filtering

Satellite imaging

Digital filtering

Adaptive optics

Space telescopes

Visualization

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