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An optimized knife-edge method for on-orbit MTF estimation of optical sensors using powell parameter fitting
Author(s): Lu Han; Kun Gao; Chen Gong; Zhenyu Zhu; Yue Guo
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Paper Abstract

On-orbit Modulation Transfer Function (MTF) is an important indicator to evaluate the performance of the optical remote sensors in a satellite. There are many methods to estimate MTF, such as pinhole method, slit method and so on. Among them, knife-edge method is quite efficient, easy-to-use and recommended in ISO12233 standard for the wholefrequency MTF curve acquisition. However, the accuracy of the algorithm is affected by Edge Spread Function (ESF) fitting accuracy significantly, which limits the range of application. So in this paper, an optimized knife-edge method using Powell algorithm is proposed to improve the ESF fitting precision. Fermi function model is the most popular ESF fitting model, yet it is vulnerable to the initial values of the parameters. Considering the characteristics of simple and fast convergence, Powell algorithm is applied to fit the accurate parameters adaptively with the insensitivity to the initial parameters. Numerical simulation results reveal the accuracy and robustness of the optimized algorithm under different SNR, edge direction and leaning angles conditions. Experimental results using images of the camera in ZY-3 satellite show that this method is more accurate than the standard knife-edge method of ISO12233 in MTF estimation.

Paper Details

Date Published: 12 September 2017
PDF: 9 pages
Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 1039506 (12 September 2017); doi: 10.1117/12.2271800
Show Author Affiliations
Lu Han, Beijing Institute of Technology (China)
Kun Gao, Beijing Institute of Technology (China)
Chen Gong, Beijing Institute of Technology (China)
Zhenyu Zhu, Beijing Institute of Technology (China)
Yue Guo, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 10395:
Optics and Photonics for Information Processing XI
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Víctor H. Diaz-Ramirez, Editor(s)

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