29 November 2011 Measurement and study on signal-to-noise ratio of a spaceborne camera
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Proceedings Volume 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 82000K (2011); doi: 10.1117/12.903709
Event: International Conference on Optical Instruments and Technology (OIT2011), 2011, Beijing, Beijing, China
Abstract
The developed spaceborne camera is an exclusive functional load of a micro satellite. The signal-to-noise ratio (SNR) reflects its radiance response and is the parameter that directly associates with the quality of its acquired images. The SNR determination task of the spaceborne camera mainly consists of two parts: As is reported before firstly the spatial environment is simulated and the atmosphere transmission mode is built with MODTRAN to calculate and predict the SNR of the speceborne camera under aerial working condition. In this paper, the in-lab measuring experiment is carried out to measure the theoretical imaging performance of the camera before its aerial use. An integrating sphere is utilized to supply well-proportioned illumination, and a number of images are acquired by the spaceborne camera under different luminance conditions. The images are processed in use of certain algorithm and a special filter to extract the noise. The SNRs corresponding to different illumination conditions are calculated so that full-scale radiance response feature of the camera can be gained. The dynamic range is another parameter that characterizes the imaging capacity of a camera. The relationship between dynamic range and SNR of a camera is to be explored in this paper. Different dynamic configurations are set and the SNRs of different dynamic range configurations are tested, which experimentally reveals the dynamic range's influence on SNR.
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Yuheng Chen, Jiankang Zhou, Xinhua Chen, Yiqun Ji, Weimin Shen, "Measurement and study on signal-to-noise ratio of a spaceborne camera", Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 82000K (29 November 2011); doi: 10.1117/12.903709; https://doi.org/10.1117/12.903709
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KEYWORDS
Signal to noise ratio

Cameras

Integrating spheres

Optical filters

Imaging systems

Image filtering

Image processing

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