• Acta Optica Sinica
  • Vol. 37, Issue 12, 1211002 (2017)
Liude Tian1、2、*, Tao Wang1, Huaixue Zhao1, Yining Liu1, Jianke Zhao1, Yan Zhou1, and Zhaohui Liu1
Author Affiliations
  • 1 Testing Technology Service Center, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi 710119, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS201737.1211002 Cite this Article Set citation alerts
    Liude Tian, Tao Wang, Huaixue Zhao, Yining Liu, Jianke Zhao, Yan Zhou, Zhaohui Liu. Calculation of Optical Transfer Function for Image Motion Based on Statistical Moments[J]. Acta Optica Sinica, 2017, 37(12): 1211002 Copy Citation Text show less

    Abstract

    In order to evaluate the influence of the tracking and imaging platform on the modulation transfer function of the image accurately and provide a theoretical basis for the determination of the platform’s technical specifications, an analytical and numerical model is established, which is used to calculate the movement optical transfer function by the image motion function. The truncation error of the finite term is given, and the truncation error is less than 10% when the 7 order approximation is taken. The proposed model includes analytic expressions of low frequency sinusoidal motion and high frequency sinusoidal motion. The tracking angular velocity errors of a tracking imaging platform are analyzed by frequency spectrum. The fundamental components of frequency spectrum are composed by multiple low frequency sinusoidal vibration components. Image motion caused by the tracking angular velocity error can be approximated to uniform linear motion at the exposure time scale. The modulation transfer function is calculated by the statistical moment method, and is almost equal to that calculated by the root mean square of the tracking angular velocity error. The calculated deviation is less than 0.01 at 200 mrad -1 frequency. Therefore, the root mean square error of the tracking angular velocity is a reasonable parameter describing the tracking stability of the tracking imaging platform.
    Liude Tian, Tao Wang, Huaixue Zhao, Yining Liu, Jianke Zhao, Yan Zhou, Zhaohui Liu. Calculation of Optical Transfer Function for Image Motion Based on Statistical Moments[J]. Acta Optica Sinica, 2017, 37(12): 1211002
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