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Geostatistically estimated image noise is a function of variance in the underlying signal

Asmat, A., Atkinson, P.M. and Foody, G.M. (2010) Geostatistically estimated image noise is a function of variance in the underlying signal International Journal of Remote Sensing, 31, (4), pp. 1009-1025. (doi:10.1080/01431160902922888).

Record type: Article

Abstract

Estimation of noise contained within a remote sensing image is often a prerequisite
to dealing with the deleterious effects of noise on the signal. Image based methods
to estimate noise are attractive to researchers for a range of applications because
they are in many cases automatic and do not depend on external data or laboratory
measurement. In this paper, the geostatistical method for estimating image noise
was applied to Compact Airborne Spectrographic Imager (CASI) imagery. Three
CASI wavebands (0.46–0.49 mm (blue), 0.63–0.64 mm (red), 0.70–0.71 mm (nearinfrared))
and four land covers (coniferous woodland, grassland, heathland and
deciduous woodland) were selected for analysis. Five sub-images were identified
per land cover resulting in 20 example cases per waveband. As in previous studies,
the analysis showed that noise was related to land cover type. However, the noise
estimates were not related to the mean of the signal in any waveband. Rather, the
noise estimates were related to the square root of the semivariogram sill, which
represents the variability in the underlying signal. These results suggest that the
noise estimates produced using the geostatistical method may be inflated where the
variance in the image is large. Regression of the noise estimates on the square root
of the sill may lead to a stable noise estimate (i.e. the regression intercept), which is
not affected by the variability in the image. This provides a refined geostatistical
(GS) method that avoids the problems outlined above.

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More information

Published date: April 2010

Identifiers

Local EPrints ID: 150955
URI: http://eprints.soton.ac.uk/id/eprint/150955
ISSN: 0143-1161
PURE UUID: 1c4341c5-5209-461e-8c6f-70ef01c66f8b

Catalogue record

Date deposited: 06 May 2010 14:52
Last modified: 18 Jul 2017 12:56

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Contributors

Author: A. Asmat
Author: P.M. Atkinson
Author: G.M. Foody

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