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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 22 — Aug. 1, 2011
  • pp: D1–D6

Autonomous subpixel satellite track end point determination for space-based images

Lance M. Simms  »View Author Affiliations


Applied Optics, Vol. 50, Issue 22, pp. D1-D6 (2011)
http://dx.doi.org/10.1364/AO.50.0000D1


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Abstract

An algorithm for determining satellite track end points with subpixel resolution in spaced-based images is presented. The algorithm allows for significant curvature in the imaged track due to rotation of the spacecraft capturing the image. The motivation behind the subpixel end point determination is first presented, followed by a description of the methodology used. Results from running the algorithm on real ground-based and simulated spaced-based images are shown to highlight its effectiveness.

© 2011 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(120.6085) Instrumentation, measurement, and metrology : Space instrumentation

History
Original Manuscript: March 14, 2011
Manuscript Accepted: May 13, 2011
Published: June 29, 2011

Citation
Lance M. Simms, "Autonomous subpixel satellite track end point determination for space-based images," Appl. Opt. 50, D1-D6 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-22-D1


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References

  1. H. Ali, C. Lampert, and T. Breuel, “Satellite tracks removal in astronomical images,” in Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science (Springer, 2006), Vol.  4225, pp. 892–901. [CrossRef]
  2. A. J. Storkey, N. C. Hambly, C. K. I. Williams, and R. G. Mann, “Cleaning sky survey data bases using hough transform and renewal string approaches,” Mon. Not. R. Astron. Soc. 347, 36–51 (2004). [CrossRef]
  3. M. A. Earl, “Determining the range of an artificial satellite using its observed trigonometric parallax,” J. R. Astron. Soc. Can. 99, 50–55 (2005).
  4. M. Levesque, “Automatic reacquisition of satellite positions by detecting their expected streaks in astronomical images,” presented at the Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, Hawaii, 1–4 Sept. 2009.
  5. L. Simms, V. Riot, W. De Vries, S. Olivier, A. Pertica, B. Bauman, D. Phillion, and S. Nikolaev, “Optical payload for the STARE mission,” Proc. SPIE 8044-5, 804406 (2010).
  6. Note that a simplification has been made by approximating the path of the target as a straight line during the exposure, which it is not.
  7. This information will be available from calibration data taken before the observation.
  8. AMS Collaboration, “Protons in near earth orbit,” Phys. Lett. B 472, 215–226 (2000). [CrossRef]
  9. D. Shaw and P. Hodge, “Cosmic ray rejection in STIS CCD images,” Instrument Science Rep. STIS 98-22 (Space Telescope Science Institute, 1998).
  10. While the STARE pathfinder satellites will suffer from this problem, the future STARE constellation CubeSats will carry high quality sensors that will not.

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