@ARTICLE\{IMM2015-06827,
    author       = "A. A. Nielsen and K. Conradsen and H. Skriver",
    title        = "Change Detection in Full and Dual Polarization, Single- and Multi-Frequency {SAR} Data",
    year         = "2015",
    month        = "aug",
    keywords     = "Complex covariance matrix test statistic, complex Wishart distribution, quad polarization, full polarization, dual polarization, remote sensing change detection, {EMISAR}.",
    pages        = "4041-4048",
    journal      = "{IEEE} Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
    volume       = "8",
    editor       = "",
    number       = "8",
    publisher    = "",
    note         = "CORRECTION: the four figures in page 4044 are not correct; corrected figures can be found on http://people.compute.dtu.dk/alan/JSTARS2015correction.pdf. - Matlab code in zip-file. Mort Canty has {ENVI}/{IDL} and Python code on https://github.com/mortcanty/.",
    url          = "http://orbit.dtu.dk/en/publications/change-detection-in-full-and-dual-polarization-single-and-multifrequency-sar-data(13fd0be5-c76a-4bab-9515-015d33cf4936)-full.html",
    abstract     = "When the covariance matrix formulation is used for multi-look polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution a test statistic for equality of two complex variance-covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study airborne {EMISAR} {C-} and {L-}band {SAR} images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bi-frequency, bi-temporal change detection with full and dual polarimetry data.",
    isbn_issn    = "{DOI} 10.1109/JSTARS.2015.2416434"
}