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Polarimetric SAR Change Detection with the Complex Hotelling-Lawley Trace Statistic

By Vahid Akbari, Stian Normann Anfinsen, Anthony Paul Doulgeris, Torbjørn Eltoft, Gabriele Moser and Sebastian Bruno Serpico

Abstract

Accepted manuscript version. Published version at http://dx.doi.org/10.1109/TGRS.2016.2532320.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 trace statistic is ap- proximated by a Fisher-Snedecor distribution, which is used to define the significance level of a false alarm rate regulated change detector. Experiments on simulated and real PolSAR data sets demonstrate that the proposed change detection method gives detections rates and error rates that are comparable with the generalized likelihood ratio test

Topics: Synthetic aperture radar, polarimetry, Hotelling-Lawley trace statistic, likelihood ratio test statistic, Fisher-Snedecor distribution, complex Wishart distribution, change detection, VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
Publisher: 'Institute of Electrical and Electronics Engineers (IEEE)'
Year: 2016
DOI identifier: 10.1109/TGRS.2016.2532320
OAI identifier: oai:munin.uit.no:10037/9012
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