Paper
19 February 2015 MTF online compensation in space optical remote sensing camera
Youshan Qu, Bo Zhai, Yameng Han, Jiang Zhou
Author Affiliations +
Proceedings Volume 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014); 94490F (2015) https://doi.org/10.1117/12.2076000
Event: The International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference (icPOE 2014), 2014, Xi'an, China
Abstract
An ordinary space optical remote sensing camera is an optical diffraction-limited system and a low-pass filter from the theory of Fourier Optics, and all the digital imaging sensors, whether the CCD or CMOS, are low-pass filters as well. Therefore, when the optical image with abundant high-frequency components passes through an optical imaging system, the profuse middle-frequency information is attenuated and the rich high-frequency information is lost, which will blur the remote sensing image. In order to overcome this shortcoming of the space optical remote sensing camera, an online compensating approach of the Modulation Transfer Function in the space cameras is designed. The designed method was realized by a hardware analog circuit placed before the A/D converter, which was composed of adjustable low-pass filters with a calculated value of quality factor Q. Through the adjustment of the quality factor Q of the filters, the MTF of the processed image is compensated. The experiment results display that the realized compensating circuit in a space optical camera is capable of improving the MTF of an optical remote sensing imaging system 30% higher than that of no compensation. This quantized principle can efficiently instruct the MTF compensating circuit design in practice.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Youshan Qu, Bo Zhai, Yameng Han, and Jiang Zhou "MTF online compensation in space optical remote sensing camera", Proc. SPIE 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014), 94490F (19 February 2015); https://doi.org/10.1117/12.2076000
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KEYWORDS
Modulation transfer functions

Imaging systems

Remote sensing

Cameras

Optical filters

Image quality

Image filtering

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