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Remote Sensing Technology and Application  2010, Vol. 25 Issue (2): 303-309    DOI: 10.11873/j.issn.1004-0323.2010.2.303
Review on Methods for SNR Estimation of Optical Remote Sensing Imagery
ZHU Bo1,2,3,WANG Xin-hong2,TANG Ling-lli2,LI Chuan-rong2
1.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100190,China;
2.Academy of Opto-Electronics,Chinese Academy of Sciences,Beijing 100190,China;
3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China
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The signal-to-noise ratio (SNR) is one of the most important indices which can be used to evaluate the data quality obtained by a remote sensor.To a great extent,the SNR of an image reflects the SNR of the remote sensor.Several typical methods to estimate the SNR of optical remote sensing imagery are summarized in this paper,and their merit and restrictions are presented.And this paper also performs the comparison and analysis between these methods based on their own principles,from six aspects including the automatic computation,the computing time,the stability,the applicability,the suitable sensor category,and the uniformity of estimating areas.In addition,the paper points out that the comparison and analysis between methods in various specific applications should be done in the future.The study will help to choose a reasonable SNR estimating method aiming at different remote sensors and different types of remote sensing images.

Key words:  Optical remote sensing imagery      Signal-to-noise ratio(SNR)      Noise estimation     
Received:  02 December 2009      Published:  19 October 2010
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WANG Xin-hong
TANG Ling-li
LI Chuan-rong

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ZHU Bo, WANG Xin-hong, TANG Ling-li, LI Chuan-rong. Review on Methods for SNR Estimation of Optical Remote Sensing Imagery. Remote Sensing Technology and Application, 2010, 25(2): 303-309.

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