Paper
2 April 2010 Relative geometric projection method and argument rotation algorithm for compensation part of an image navigation and registration system
Yu Ning, Zhigang Wang, Wei Li
Author Affiliations +
Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76512Q (2010) https://doi.org/10.1117/12.855288
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China
Abstract
The paper presents two novel methods for compensation part of an Image Navigation and Registration System (INR). Relatively geometric projection method is applied to compensate the long-term deviations caused by the excursion of orbit. It transforms the view into the body frame of satellite and uses algebraic calculation instead of the trigonometric functions. The new method avoids the repetitious calculations of trigonometric function, and can clearly show the geometric relationships among satellites, optical vectors, and deviation of optical axis. Argument rotation algorithm is applied to compensate the short-term deviations cause by the change of attitude. It is realized by a multiplicative rotation model which describes rotation of rigid frame to a spin axis. The new algorithm discards the constrained equations and singular problems, directly shows the geometric images of spinning processes, and may useful to error estimation of compensation. Both methods are demonstrated by computer simulations to be effective and decrease the amount of calculation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Ning, Zhigang Wang, and Wei Li "Relative geometric projection method and argument rotation algorithm for compensation part of an image navigation and registration system", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76512Q (2 April 2010); https://doi.org/10.1117/12.855288
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KEYWORDS
Satellites

Navigation systems

Image registration

Image restoration

Geometrical optics

Image processing

Transform theory

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