Interpreting image-based methods for estimating the signal-to-noise ratio

Atkinson, P.M., Sargent, I.M.J., Foody, G.M. and Williams, J. (2005) Interpreting image-based methods for estimating the signal-to-noise ratio International Journal of Remote Sensing, 26, (20), pp. 5099-5115. (doi:10.1080/01431160500254999).


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The signal-to-noise ratio (SNR) of remotely sensed imagery has been estimated directly using a variety of image-based methods such as the Homogeneous Area (HA) and Geostatistical (GS) methods. However, previous research has shown that such estimates may be dependent on land cover type. We examine this dependence on land cover type using Compact Airborne Spectrographic Imager (CASI) imagery of an agricultural region in Falmouth, Cornwall. The SNR was estimated using the GS method for six different land covers and a range of wavelengths. Large differences in the SNR existed between land cover types. It follows that single estimates of SNR (e.g. for one land cover) should not be associated with an image (as a whole). It is recommended that either (i) each statistic is reported per land cover type per wavelength or (ii) that an image of local statistics is reported per wavelength. The regression of noise on signal can be used to separate independent noise (intercept) from signal-dependent noise (slope). Variation in the noise and SNR estimates can be used to (i) allow more accurate prediction of the SNR and (ii) provide information on uncertainty.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1080/01431160500254999
ISSNs: 0143-1161 (print)
Related URLs:
Keywords: aerial photography - geography, environmental sciences, remote sensing

ePrint ID: 54937
Date :
Date Event
10 February 2004Submitted
20 January 2005Published
Date Deposited: 01 Aug 2008
Last Modified: 16 Apr 2017 17:45
Further Information:Google Scholar

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