Paper
27 August 2009 A practical SNR estimation scheme for remotely sensed optical imagery
Xinhong Wang, Lingli Tang, Chuanrong Li, Bo Yuan, Bo Zhu
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinhong Wang, Lingli Tang, Chuanrong Li, Bo Yuan, and Bo Zhu "A practical SNR estimation scheme for remotely sensed optical imagery", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 738434 (27 August 2009); https://doi.org/10.1117/12.848049
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Signal to noise ratio

Sensors

Algorithm development

Image analysis

Calibration

Optical sensors

Image quality

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