With the rapid advancement of space astronomical observation technology, there is an increasing demand for higher camera imaging quality. The micro-vibrations generated by internal disturbances of the satellite platform are the primary factors affecting encircled energy of disc of confusion in star image point. The traditional optical image stabilization system compensates for the disturbance by acquiring the variation of the centroid coordinates of the image point as an error feedback of the system, which has the problems of obvious lag and insufficient rapid response ability. To overcome the problem, a method based on optical image stabilization system for predicting angular velocity was proposed and on the basis of measuring the angular velocity of the Satellite bus as the error feedback of the systemin this paper. The measured data are predicted using a combination of current statistical model (CS) and Kalman filtering algorithm. The simulation results in MATLAB demonstrate that the image stabilization system's line of sight stabilization is better than1".It is shown that the method proposed in this paper has feasibility in the optical image stabilization system, the proposed algorithm has the characteristics of high robust and low computing load, and can accurately and effectively predict the vibration information of satellite platform in advance, and provide help for the rapid implementation of vibration suppression measures.
In deep space exploration, the optical system is susceptible to various factors in space, resulting in instability of the visual axis. In order to improve the imaging quality, high-precision optical axis pointing is required. This paper is designed to feed back the current optical axis pointing in real time during space exploration. Deviation algorithm. We use an improved threshold segmentation algorithm and secondary judgment to improve the accuracy of star point extraction, which can effectively extract star point pixels in real star images. Through the extracted star point pixels, we use a threshold-based gray square weighted centroid calculation method to calculate the centroid of the star point, and use the centroid deviation of the navigation star point to obtain the final optical axis pointing deviation. In addition, we also use the windowing method to speed up the calculation rate after obtaining the navigation star point. Experiments show that the algorithm can feedback the optical axis deviation of the optical system in real time.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.