MTF online compensation in space optical remote sensing camera
| Autor: | Jiang Zhou, Yameng Han, Bo Zhai, Youshan Qu |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer science
business.industry Circuit design Fourier optics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Digital imaging Image processing Filter (signal processing) Compensation (engineering) Optical transfer function Computer vision Artificial intelligence business Linear filter Remote sensing |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2076000 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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