An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data

An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data
Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver
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.
Type	Conference paper [With referee]
Conference	ESA Big Data from Space
Year	2016 Month March
Address	Santa Cruz, Tenerife, Spain
Electronic version(s)	[pdf]
BibTeX data	[bibtex]
IMM Group(s)	Image Analysis & Computer Graphics, Geoinformatics