Change detection in quad and dual pol, single- and bi-frequency SAR data

Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver

AbstractWhen the covariance matrix representation is used for multi-look polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution a likelihood ratio test statistic for equality of two complex variance-covariance matrices and an associated p-value are given. In a case study airborne EMISAR C- and L-band SAR images 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.
TypeConference paper [With referee]
ConferenceSPIE Remote Sensing
Year2015    Month September    Vol. 9643    Ed. L. Bruzzone
AddressToulouse, France
ISBN / ISSNdoi: 10.1117/12.2194853
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics, Geoinformatics