Polarimetric synthetic aperture radar data and the complex Wishart distribution

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    Abstract

    When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3 by 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to segmentation, change detection and edge detection in polarimetric SAR data. In a case study EMISAR L-band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used.
    Original languageEnglish
    Title of host publication13th Scandinavian Conference on Image Analysis (SCIA 2003)
    PublisherSpringer
    Publication date2003
    Pages1082-1089
    Publication statusPublished - 2003

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