Change detection in a series of Sentinel1 SAR data  Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver, Morton John Canty
 Abstract  Based on an omnibus likelihood ratio test statistic for the equality of several variancecovariance matrices following the complex Wishart distribution with an associated pvalue and a factorization of this test statistic, change analysis in a time series of seven multilook, dual polarization Sentinel1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out. The omnibus test statistic and its factorization detect if and when change occurs.  Type  Conference paper [With referee]  Conference  MultiTemp  Year  2017 Month June  Address  Bruges, Belgium  Electronic version(s)  [pdf]  BibTeX data  [bibtex]  IMM Group(s)  Image Analysis & Computer Graphics 
