Estimating the PSF of space camera based on in-orbit wavefront sensing

Fei Li; Xinqi Hu; Qianqian Sun

doi:10.1117/12.2197121

7 August 2015 Estimating the PSF of space camera based on in-orbit wavefront sensing

Fei Li, Xinqi Hu, Qianqian Sun

Proceedings Volume 9623, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 96230A (2015) https://doi.org/10.1117/12.2197121
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

An accurate estimation of the point spread function (PSF) is very useful in image restoration. This paper proposes a method of estimating the PSF of space camera based on in-orbit wavefront sensing. Three wavefront sensors are used to measure the wave-front errors of the space camera, with one sensor in the center field and the other two sensors in the two edge fields. The wavefront errors of other fields can be estimated by interpolation. Then, the PSFs of each field can be estimated using the wavefront errors.

For monochromatic light, the PSF can be calculated by Fourier Transformation. For a white light imaging system, the PSF is a weighted integration of the monochromatic PSFs. The weighting coefficient is the product of the sun-light spectrum, spectral reflection factor of the object, spectral transmission factor of the optical system, and the spectral response of the image detector. Because different object has a different spectral reflection factor, to be practical and simple, we use an average spectral reflection factor of typical ground scenes instead.

It will induce error in the PSF estimations by using the average reflection factor instead of the real one. This error is analyzed in the paper which shows that the error is acceptable.

Citation Download Citation

Fei Li, Xinqi Hu, and Qianqian Sun "Estimating the PSF of space camera based on in-orbit wavefront sensing", Proc. SPIE 9623, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 96230A (7 August 2015); https://doi.org/10.1117/12.2197121

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