@CONFERENCE\{IMM2016-06927,
    author       = "A. A. Nielsen and K. Conradsen and H. Skriver",
    title        = "An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric {SAR} data",
    year         = "2016",
    month        = "mar",
    booktitle    = "{ESA} Big Data from Space",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "Santa Cruz, Tenerife, Spain",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6927-full.html",
    abstract     = "Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a short sequence of multilook, polarimetric {SAR} data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne {EMISAR} {L-}band data but may be applied to Sentinel-{1,} Cosmo-SkyMed, TerraSAR{-X,} {ALOS} and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also."
}