Visualization and unsupervised classification of changes in multispectral satellite imagery |
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| Authors: | Morton J. Canty Allan A. Nielsen |
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| Affiliation: | 1. Forschungszentrum Jülich , D‐52425 Jülich, Germany m.canty@fz-juelich.de;3. Technical University of Denmark , DK‐2800 Kgs. Lyngby, Denmark |
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| Abstract: | The statistical techniques of multivariate alteration detection, minimum/maximum autocorrelation factors transformation, expectation maximization and probabilistic label relaxation are combined in a unified scheme to visualize and to classify changes in multispectral satellite data. The methods are demonstrated with an example involving bitemporal LANDSAT TM imagery. |
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