Polarimetric synthetic aperture radar data and the complex Wishart distribution 
Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver

Abstract  When working with multilook fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the socalled covariance matrix. For each pixel this is a 3 by 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to segmentation, change detection and edge detection in polarimetric SAR data. In a case study EMISAR Lband data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used. 
Type  Conference paper [With referee] 
Conference  13th Scandinavian Conference on Image Analysis (SCIA) 
Editors  Josef Bigun and Tomas Gustavsson 
Year  2003 Month June pp. 10821089 
Publisher  Springer 
Address  Richard Petersens Plads, Building 321 
Series  Lecture Notes on Computer Science 2749 
Electronic version(s)  [pdf] 
BibTeX data  [bibtex] 
IMM Group(s)  Image Analysis & Computer Graphics, Geoinformatics 