The Hotelling-Lawley trace statistic for change detection in polarimetric SAR data under the complex Wishart distribution

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 ki...

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Bibliographic Details
Main Authors: Akbari, Vahid, Anfinsen, Stian N., Doulgeris, Anthony P., Eltoft, Torbjorn
Format: Conference Proceeding
Language:English
Subjects:
Approximation methods
change detection
complex Wishart distribution
Covariance matrices
Data models
Hotelling-Lawley trace
radar polarimetry
Remote sensing
Sociology
Sparse matrices
Synthetic aperture radar
Technology: 500
Teknologi: 500
test statistic
VDP
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Summary: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.
ISSN:2153-6996
2153-7003
2153-7003
DOI:10.1109/IGARSS.2013.6723750