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Unsupervised Classification of Changes in Multispectral Satellite Imagery Export

by: Morton J. Canty, Allan A. Nielsen
In Proc. of SPIE Vol. 5573, SPIE (2004), pp. 356-363.

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The statistical techniques of multivariate alteration detection, maximum autocorrelation factor transformation, expectation maximization, fuzzy maximum likelihood estimation and probabilistic label relaxation are combined in a unified scheme to classify changes in multispectral satellite data. An example involving bitemporal LANDSAT TM imagery is given.


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