@CONFERENCE\{IMM2003-02394, author = "A. A. Nielsen and K. Conradsen and H. Skriver", title = "Polarimetric synthetic aperture radar data and the complex Wishart distribution", year = "2003", month = "jun", pages = "1082-1089", booktitle = "13th Scandinavian Conference on Image Analysis (SCIA)", volume = "", series = "Lecture Notes on Computer Science 2749", editor = "Josef Bigun and Tomas Gustavsson", publisher = "Springer", organization = "", address = "Richard Petersens Plads, Building 321", url = "http://www2.compute.dtu.dk/pubdb/pubs/2394-full.html", abstract = "When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called 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} {L-}band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used." }