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Proceedings Paper

A practical SNR estimation scheme for remotely sensed optical imagery
Author(s): Xinhong Wang; Lingli Tang; Chuanrong Li; Bo Yuan; Bo Zhu
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Paper Abstract

Signal-to-Noise Ratio (SNR) is one of the basic and commonly used statistic parameters to evaluate the imaging quality of optical sensors. A lot of SNR estimation algorithms have been developed in various research fields. However, one intrinsic fact is usually ignored that SNR is not a constant value, but a quantity changing with the incident radiance received by the sensor. So SNR values estimated on different images through commonly used method are not comparable due to their distinct intensity levels between the images. Here we proposed a normalized SNR estimation scheme which can be readily applied to remotely sensed optical images. With this scheme SNR values obtained from different images can be of comparability, thus we can easily evaluate the performance degeneration of the sensor with more sufficient reliability.

Paper Details

Date Published: 27 August 2009
PDF: 6 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 738434 (27 August 2009); doi: 10.1117/12.848049
Show Author Affiliations
Xinhong Wang, Academy of Opto-Electronics (China)
Lingli Tang, Academy of Opto-Electronics (China)
Chuanrong Li, Academy of Opto-Electronics (China)
Bo Yuan, Academy of Opto-Electronics (China)
Bo Zhu, Academy of Opto-Electronics (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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