@ARTICLE\{IMM2006-03889,
    author       = "M. J. Canty and A. A. Nielsen",
    title        = "Visualization and unsupervised classification of changes in multispectral satellite imagery",
    year         = "2006",
    pages        = "3961-3975",
    journal      = "International Journal of Remote Sensing",
    volume       = "27",
    editor       = "",
    number       = "18",
    publisher    = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/3889-full.html",
    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.",
    isbn_issn    = "DOI:10.1080/01431160500222608"
}