@CONFERENCE\{IMM2017-06987,
    author       = "M. J. Canty and A. A. Nielsen",
    title        = "Site Monitoring with Synthetic Aperture Radar Satellite Imagery",
    year         = "2017",
    month        = "may",
    booktitle    = "39th {ESARDA} Symposium on Safeguards and Nuclear Non-Proliferation",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6987-full.html",
    abstract     = "Based on a statistical test for the equality of polarimetric matrices following the complex Wishart distribution and a factorization of the test statistic, change analysis in a time series of multi-look polarimetric {SAR} data in variance-covariance or polarimetric matrix representation is carried out. The test statistic and its factorization detect if and when change(s) occur. This paper provides a short explanation of the method, describes available software, and gives examples of potential applications for site monitoring."
}