@CONFERENCE\{IMM2007-05259,
author = "A. A. Nielsen and H. Skriver and K. Conradsen",
title = "Complex Wishart distribution based analysis of polarimetric synthetic aperture radar data",
year = "2007",
month = "jul",
booktitle = "Proceedings of MultiTemp 2007",
volume = "",
series = "",
editor = "G.J.M. De Lannoy, R. Hoeben, N.E.C. Verhoest, W.W. Verstraeten, S. Bruneel and P. Coppin",
publisher = "",
organization = "",
address = "",
url = "http://www2.compute.dtu.dk/pubdb/pubs/5259-full.html",
abstract = "Multi-look, polarimetric synthetic aperture radar (SAR) data are often worked with in the so-called covariance matrix representation. For each pixel this representation gives a 3x3 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 change detection, edge detection and segmentation 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. Soon the Japanese {ALOS,} the German TerraSAR{-X} and the Canadian {RADARSAT-}2 will acquire space-borne, polarimetric data making analysis based on these methods important."
}