A parameter identification method of high frequency vibration model on TDI image

Jiong Liang; Ting fa Xu; Ming zhu Shi; Liang Feng; Guo qiang Ni

doi:10.1117/12.2033054

19 December 2013 A parameter identification method of high frequency vibration model on TDI image

Jiong Liang, Ting fa Xu, Ming zhu Shi, Liang Feng, Guo qiang Ni

Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90450X (2013) https://doi.org/10.1117/12.2033054
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China

Abstract

To accurately discern the parameters of high frequency vibration blur model on a single TDI image, the research analyzes the imaging function when high frequency vibration occurs in TDI mode. The method of simplifying the vibration model is offered and verified, which promises the MTF will be only related with motion angle and vibration amplitude. Three algorithms for motion direction discerning are compared with one another, which are Radon transform, autocorrelation analysis and cepstral method. The conclusion reveals that cepstral method can measure the most accurate motion angle. Four algorithms for vibration amplitude discerning are compared, which are the quadratic Radon transform, cepstral analysis, autocorrelation analysis and direct analysis on frequency spectrum. It reveals that direct analysis on Log frequency spectrum is the most accurate for vibration amplitude. The research suggests that composition of cesptral method and direct analysis on log frequency spectrum could obtain the highly accurate parameters in high frequency vibration model.

Citation Download Citation

Jiong Liang, Ting fa Xu, Ming zhu Shi, Liang Feng, and Guo qiang Ni "A parameter identification method of high frequency vibration model on TDI image", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90450X (19 December 2013); https://doi.org/10.1117/12.2033054

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