@CONFERENCE\{IMM2007-05315,
    author       = "M. J. Canty and A. A. Nielsen",
    title        = "Investigation of Alternative Iteration Schemes for the {IR-MAD} Algorithm",
    year         = "2007",
    month        = "sep",
    keywords     = "change detection, canonical correlations, radiometric normalization, {IR-MAD}",
    booktitle    = "Proceedings {SPIE} Europe Remote Sensing Conference",
    volume       = "6748",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "Florence, Italy",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5315-full.html",
    abstract     = "The iteratively re-weighted multivariate alteration detection (IR-MAD) transformation is proving to be very successful for multispectral change detection and automatic radiometric normalization applications in remote sensing. Various alternatives exist in the way in which the weights (no-change probabilities) are calculated during the iteration procedure. These alternatives are compared quantitatively on the basis of multispectral imagery from different sensors under a range of ground cover conditions exhibiting wide variations in the amount of change present, as well as with a partially artificial data set simulating truly time-invariant observations. A best re-weighting procedure is recommended."
}