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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 ...
The Hotelling-Lawley trace statistic for change detection in polarimetric SAR data under the complex Wishart distribution
(Journal article; Tidsskriftartikkel; Peer reviewed, 2014-01-27)
In this paper we propose a new test statistic for unsupervised changedetectioninpolarimetricsyntheticapertureradar(PolSAR) 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 ...
A Textural–Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
This paper proposes a novel unsupervised, non-Gaussian, and contextual segmentation method that combines an advanced statistical distribution with spatial contextual informa-tion for multilook polarimetric synthetic aperture radar (PolSAR)data. This extends on previous studies that have shown the added value of both non-Gaussian modeling and contextual smoothing individually or for intensity channels ...
Non-gaussian clustering of SAR images for glacier change detection
(Journal article; Tidsskriftartikkel, 2010-12)
Our aim is to use unsupervised, non-Gaussian clustering of Arctic glaciers for post-classification change detection. Firstly, we demonstrate the consistency of non-Gaussian clustering algorithms for Envisat ASAR images by characterizing the expected random error level for different SAR acquisition conditions (such as incidence angle). This allows us to determine whether an observed variation is ...
A change detector for polarimetric SAR data based on the relaxed Wishart distribution
(Journal article; Tidsskriftartikkel; Peer reviewed, 2015-11-12)
In this paper, we present an unsupervised change detection method for polarimetric synthetic aperture radar (PolSAR) images based on the relaxed Wishart distribution. Most polarimetric change detectors assume the Gaussian-based complex Wishart model for multilook covariance matrices, which is only satisfied for homogeneous areas with fully developed speckle and no texture. Liu et al. recently proposed ...
Non-Gaussian Clustering of SAR images for Glacier Change Detection
(Conference object; Konferansebidrag, 2010)
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 ...
Monitoring glacier changes using multitemporal multipolarization SAR images
(Journal article; Tidsskriftartikkel; Peer reviewed, 2014)
A K-Wishart Markov random field model for clustering of polarimetric SAR imagery
(Conference object; Konferansebidrag, 2011)
Quad-Polarimetric SAR for Detection and Characterization of Icebergs
(Conference object; Konferansebidrag, 2016)
This paper evaluates the performance of fully polarimetric SAR data in iceberg detection and characterization. The study aims to explore the potential of RADARSAT-2 SAR data to detect icebergs and growlers in Svalbard that have broken off from the glaciers nearby. To be able to detect iceberg/growlers in a SAR image, a significant contrast between iceberg and background clutter is required. The ...