Title :
Change Detection in Full and Dual Polarization, Single- and Multifrequency SAR Data
Author :
Nielsen, Allan Aasbjerg ; Conradsen, Knut ; Skriver, Henning
Author_Institution :
DTU Compute, Department of Applied Mathematics Computer Science, Technical University of Denmark, Lyngby, Denmark
Abstract :
When the covariance matrix formulation is used for multilook polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution, a test statistic for equality of two complex variance–covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study, airborne EMISAR C- and L-band SAR images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bifrequency, bitemporal change detection with full and dual polarimetry data.
Keywords :
Covariance matrices; Earth; L-band; Polarimetry; Probability; Scattering; Synthetic aperture radar; Complex covariance matrix test statistic; EMISAR; complex Wishart distribution; dual polarization; full polarization; quad polarization; remote sensing change detection;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2015.2416434