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On estimating measurement error in remotely sensed images with the variogram

Atkinson, Peter M. (1997) On estimating measurement error in remotely sensed images with the variogram. International Journal of Remote Sensing, 18 (14). pp. 3057-3084. ISSN 0143-1161

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Abstract

Previously, several methods have been developed to estimate the signal-to-noise ratio of remotely sensed imagery. Of these, the most appropriate is a method based on spatial dependence for estimating the signal-to-noise ratio of Airborne Visible InfraRed Imaging Spectrometer (AVIRIS) imagery. The intercept on the ordinate of the modelled sample variogram, known as the nugget variance, is used to estimate noise. However, while the nugget variance is due to measurement error, it depends also on short-range spatial variation that has not been measured, underlying variation that has been measured (but which may result in a non-linear form of variogram near the ordinate), sampling effects, and the choice of model fitted to the sample variogram. For remotely-sensed imagery there is no short-range variation that has not been measured because the pixels are contiguous or overlapping. Further, there are usually many pixels and so sampling effects are negligible. However, it is impossible to account for the form of the variogram near the ordinate when selecting a mathematical model. Consequently, while the nugget variance remains as the most appropriate method of estimating measurement error in remotely sensed images, it may be less reliable than previously thought.

Item Type: Article
Journal or Publication Title: International Journal of Remote Sensing
Additional Information: M1 - 14
Subjects:
Departments: Faculty of Science and Technology
ID Code: 77248
Deposited By: ep_importer_pure
Deposited On: 18 Dec 2015 16:12
Refereed?: Yes
Published?: Published
Last Modified: 20 Nov 2017 11:50
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/77248

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