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http://dx.doi.org/10.7780/kjrs.2017.33.2.5

The Signal-to-Noise Ratio Enhancement of the Satellite Electro-Optical Imager using Noise Analysis Methods  

Park, Jong-Euk (Korea Aerospace Research Institute)
Lee, Kijun (Chungnam National University, Department of Electronics Engineering)
Publication Information
Korean Journal of Remote Sensing / v.33, no.2, 2017 , pp. 159-169 More about this Journal
Abstract
The Satellite Electro-Optic Payload System needsspecial requirements with the conditions of limited power consumption and the space environment of solar radiation. The acquired image quality should be mainly depend on the GSD (Ground Sampled Distance), SNR (Signal to Noise Ratio), and MTF (Modulation Transfer Function). On the well-manufactured sensor level, the thermal noise is removed on ASP (Analog Signal Processing) using the CDS (Corrective Double Sampling); the noise signal from the image sensor can be reduced from the offset signals based on the pre-pixels and the dark-pixels. The non-uniformity shall be corrected with gain, offset, and correction parameter of the image sensor pixel characteristic on the sensor control system. This paper describes the SNR enhancement method of the satellite EOS payload using the mentioned noise remove processes on the system design and operation, which is verified by tests and simulations.
Keywords
Satellite; Camera; Image; Sensor; SNR;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Lee, K-H. and E-S. Yoon, 2003. Noise Suppression of CMOS Image Sensor using Reset Level Control, 3(1): 40-41.
2 Nakamura, J., 2016. Basics of Image Sensors. Image sensors and signal processing for digital still cameras: 53-94.
3 Sohn, S-M., 2003. A CMOS image sensor (CIS) architecture with low power motion detection for portable security camera applications. IEEE Transactions on Consumer Electronics, 49(4): 1227-1233   DOI
4 Young, A., 2015. From Satellites to Spinoffs: A Brief History of Commercial Space Activity. In The Twenty-First Century Commercial Space Imperative, Springer International Publishing: 1-13.
5 Hopkinson, G-R., 2000. Radiation effects in a CMOS active pixel sensor. IEEE Transactions on Nuclear Science, 47(6): 2480-2484.   DOI
6 Kong, J-P., 2011. Comparison of correction coefficients for the non-uniformity of pixel response in satellite camera electronics. Korean Journal of Remote Sensing, 27(2): 89-98..   DOI
7 Arnaud, A. and G-M. Carlos, 2003. A compact model for flicker noise in MOS transistors for analog circuit design. IEEE Transactions on Electron Devices, 50(8): 1815-1818.   DOI
8 Buchen, E., 2015. Small satellite market observations. 29th Annual AIAA/USU Conference on Small Satellites.
9 Cho, Y-M., 2002. Characteristics of the Image Quality Parameter in Satellite Imaging Instrument. Aerospace Engineering and Technology, 1(2): 66-74
10 Cohen, M. and J-P. David., 2000. Radiation-induced dark current in CMOS active pixel sensors. IEEE Transactions on Nuclear Science, 47(6): 2485-2491.   DOI
11 Hobbs, P. C., 2011. Building electro-optical systems: making it all work (Vol. 71), John Wiley & Sons.