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Linear mixing and the estimation of ground cover proportions

International Journal of Remote Sensing · 1993 · Vol. 14(6) · pp. 1159–1177
J.J. SettleNicholas Drake

Abstract

Abstract In this paper we consider how we may determine the relative proportions of ground cover components in a mixed pixel. We assume the usual linear model for signal mixing and examine a number of methods, closely related, for estimating the proportions. We also show how the precision of our estimates can be defined. We introduce a new estimator which is based on regularisation principles and which produces a smoother set of images than other methods, and gives more accurate estimates. The methods are compared on a simulated data set.

Geochemistry and Geologic MappingRemote-Sensing Image ClassificationSoil Geostatistics and MappingMixing (physics)EstimatorCover (algebra)Set (abstract data type)Computer scienceMathematicsData setAlgorithmStatisticsRemote sensing
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References
Journal of the Royal Statistical Society.
The Economic Journal · 1923 · 3,267 citations
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