Title :
The Wishart-Kotz classifier for multilook polarimetric SAR data
Author :
Kersten, Paul R. ; Anfinsen, Stian N. ; Doulgeris, Anthony P.
Abstract :
We presents a classifier for multilook polarimetric synthetic aperture radar (PolSAR) data based upon a new distribution model for the polarimetric sample covariance matrix: the complex Wishart-Kotz distribution. This is a highly flexible model, which exhibits the heavy tails needed to fit the data found in high resolution PolSAR images. In addition, they do not contain the mathematical special functions that limit the usefulness of alternative heavy-tailed distributions by inflicting high computational cost and numerical instability. Classification results on simulated and real data are presented.
Keywords :
covariance matrices; image classification; image resolution; radar imaging; synthetic aperture radar; Wishart-Kotz classifier; distribution model; high computational cost; high resolution PolSAR images; multilook polarimetric SAR data; numerical instability; polarimetric sample covariance matrix; synthetic aperture radar data; Classification algorithms; Clustering algorithms; Computational modeling; Covariance matrix; Data models; Mathematical model; Shape; Polarimetric synthetic aperture radar; Radar imaging; parameter estimation; probability distributions; statistical analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350758
