Paper Info
Title
The Hotelling-Lawley trace statistic for change detection in polarimetric SAR data under the complex Wishart distribution
Abstract
In this paper we propose a new test statistic for unsupervised change detection in polarimetric synthetic aperture radar (Pol-SAR) data. We work with multilook complex (MLC) covariance matrix data, whose underlying model is assumed to be the scaled complex Wishart distribution. We use the complex kind Hotelling-Lawley (HL) trace statistic for measuring the similarity of two covariance matrices. The sampling distribution of the HL trace is approximated by a Fisher-Snedecor distribution, which is used to define the significance level of a constant false alarm rate change detector. The performance of the proposed method is tested on simulated and real PolSAR data sets and compared to the likelihood ratio test statistic.
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6723750
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
radar polarimetry,synthetic aperture radar,Fisher-Snedecor distribution,Hotelling-Lawley trace statistic,PolSAR data sets,complex Wishart distribution,constant false alarm rate change detector,likelihood ratio test statistic,multilook complex covariance matrix data,polarimetric SAR data,synthetic aperture radar,unsupervised change detection,Hotelling-Lawley trace,change detection,complex Wishart distribution,radar polarimetry,synthetic aperture radar,test statistic
Sampling distribution,Change detection,Likelihood-ratio test,Test statistic,Statistic,Pattern recognition,Computer science,Remote sensing,Artificial intelligence,Covariance matrix,Wishart distribution,Covariance
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4799-1114-1
7
PageRank 
References 
Authors
0.64
9
4
Name
Order
Citations
PageRank
Vahid Akbari1435.98
Stian Normann Anfinsen225520.55
Anthony Paul Doulgeris311611.14
Torbjørn Eltoft458348.56