@CONFERENCE\{IMM2006-04687,
    author       = "M. J. Canty and A. A. Nielsen",
    title        = "Automatic generation of change information for multitemporal, multispectral imagery",
    year         = "2006",
    month        = "nov",
    booktitle    = "ESA-EUSC: Image Information Mining for Security and Intelligence",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4687-full.html",
    abstract     = "A data-oriented and automatic approach to the extraction of change information from time series of multi- and hyperspectral imagery is presented. The method applies the iteratively re-weighted multivariate alteration detection (IR-MAD) algorithm to signal significant changes, recording the results in a highly compressed, georeferenced binary image. A prototype change extraction and archival system, implemented as an extension to the {ENVI}/{IDL} remote sensing data processing user interface, is illustrated using time series of {LANDSAT} {TM} and {ASTER} multispectral imagery over the Nevada Nuclear Test Site in the {USA}."
}