TY - GEN
T1 - Polarimetric synthetic aperture radar data and the complex Wishart distribution
AU - Nielsen, Allan Aasbjerg
AU - Conradsen, Knut
AU - Skriver, Henning
A2 - Bigun et al., Josef
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
U2 - 10.1007/3-540-45103-x_142
DO - 10.1007/3-540-45103-x_142
M3 - Article in proceedings
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1082
EP - 1089
BT - 13th Scandinavian Conference on Image Analysis (SCIA 2003)
PB - Springer
ER -