@CONFERENCE\{IMM2004-03245,
    author       = "M. J. Canty and A. A. Nielsen",
    title        = "Unsupervised classification of changes in multispectral satellite imagery",
    year         = "2004",
    month        = "sep",
    keywords     = "change detection; clustering",
    pages        = "356-363",
    booktitle    = "Proceedings of {SPIE,} Image and Signal Processing for Remote Sensing X",
    volume       = "5573",
    series       = "Technical University of Denmark",
    editor       = "Lorenzo Bruzzone",
    publisher    = "",
    organization = "",
    address      = "Maspalomas, Gran Canaria, Spain",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/3245-full.html",
    abstract     = "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."
}