@ARTICLE\{IMM2016-06825,
    author       = "K. Conradsen and A. A. Nielsen and H. Skriver",
    title        = "Determining the points of change in time series of polarimetric {SAR} data",
    year         = "2016",
    month        = "may",
    keywords     = "Complex covariance matrix test statistic, complex Wishart distribution, dual polarization, {EMISAR,} full polarization, multitemporal synthetic aperture radar (SAR) data, omnibus test statistic, quad polarization, remote sensing change detection.",
    pages        = "3007-3024",
    journal      = "{IEEE} Transactions on Geoscience and Remote Sensing",
    volume       = "54",
    editor       = "",
    number       = "5",
    publisher    = "",
    note         = "Typos: 1) on page 3010 section {III}.C: j<k should be j<=k; 2) on page 3015, Table {V,} last row, {''}May = ... = Aug{''} column, P\{Q<q\} should read 0.0112 (and not 0.0011). - Matlab code in zip-file at http://www.imm.dtu.dk/pubdb/p.php?7027, Python code at http://mortcanty.github.io/SARDocker/, Python code for Google Earth Engine at https://github.com/mortcanty/earthengine, JavaScript code to run directly in {GEE} Code Editor at http://fwenvi-idl.blogspot.de/2017/10/polsar-change-detection-in-google-earth.html.",
    url          = "http://orbit.dtu.dk/en/publications/determining-the-points-of-change-in-time-series-of-polarimetric-sar-data(4255ddb4-1fd9-4d66-9aad-e8049a976d75)-full.html",
    abstract     = "We present the likelihood ratio test statistic for the homogeneity of several complex variance–covariance matrices that may be used in order to assess whether at least one change has taken place in a time series of {SAR} data. Furthermore, we give a factorization of this test statistic into a product of test statistics that each tests simpler hypotheses of homogeneity up to a certain point and that are independent if the hypothesis of total homogeneity is true. This factorization is used in determining the (pixelwise) time points of change in a series of six {L-}band {EMISAR} polarimetric {SAR} data. The pixelwise analyses are applied on homogeneous subareas covered with different vegetation types using the distribution of the observed p-values.",
    isbn_issn    = "{DOI} 10.1109/TGRS.2015.2510160"
}