Aerospace Engineering and Technology (항공우주기술)

Korea Aerospace Research Institute (한국항공우주연구원)
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Noise Analysis of Nonlinear Image Sensor Model with Application to SNR Estimation

위성용 카메라 비선형 모델의 잡음 특성 분석과 영상 신호-잡음비(Image SNR) 분포도 계산

  • Received : 2009.05.13
  • Accepted : 2009.07.01
  • Published : 2009.07.01
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Abstract

The paper identifies noise characteristics of a nonliner image sensor model which reflects a saturation effect of each detector pixel and extends the result to estimate an image SNR (Signla-to-Noise Ratio) distribution over all the pixels in a detector. In particular, nonlinearity of a pixel is studied from two perspectives of including asymmetry of a noise PDF (Probability Distribution Function) and enhancing a pixel SNR value, in comparison to a linear model. It is noted that the proposed image SNR distribution function is useful to effectively select new optimal operation parameter values: an integration time and an pixel-summing number, even after a launch campaign, assuming sensor gain degradation in orbit or inevitable modification of some operation parameter values due to space contingency.

본 논문은 검출기의 포화과정을 반영한 비선형 모델의 잡음 특성을 분석하고, 그러한 분석결과를 영상 신호-잡음비(Image SNR)의 분포도를 계산하기위하여 적용한다. 특별히, 검출 화소의 비선형성은 잡음분포(PDF)의 비대칭성과 화소 신호-잡음비(Pixel SNR)의 증폭이라는 두 가지 관점에서 분석되며, 제안된 영상 신호-잡음비 분포도를 이용하여 위성의 발사 후에 카메라 이득의 변화나 기타 상황에서도, 궤도상에서 최적의 위성 카메라 운영 변수들(노출시간, 누적횟수)을 얻을 수 있음이 주요한 특징으로 강조된다.

Keywords

References

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