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A K-Wishart Markov random field model for clustering of polarimetric SAR imagery
(Peer reviewed; Bokkapittel; Bok; Book; Chapter, 2011-10-20)
A clustering method that combines an advanced statistical distribution with spatial contextual information is proposed for multilook polarimetric synthetic aperture radar (PolSAR) data. It is based on a Markov random field (MRF) model that integrates a K-Wishart distribution for the PolSAR data statistics conditioned to each image cluster and a Potts model for the spatial context. Specifically, the ...
Polarimetric SAR Change Detection with the Complex Hotelling-Lawley Trace Statistic
(Journal article; Tidsskriftartikkel; Peer reviewed, 2016-03-15)
In this paper, we propose a new test statistic for unsupervised change detection in polarimetric radar images. We work with multilook complex covariance matrix data, whose underlying model is assumed to be the scaled complex Wishart distribution. We use the complex-kind Hotelling-Lawley trace statistic for measuring the similarity of two covariance matrices. The distribution of the Hotelling-Lawley ...