Complex Wishart distribution based analysis of polarimetric synthetic aperture radar data

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    Abstract

    Multi-look, polarimetric synthetic aperture radar (SAR) data are often worked with in the so-called covariance matrix representation. For each pixel this representation gives a 3x3 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 change detection, edge detection and segmentation 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. Soon the Japanese ALOS, the German TerraSAR-X and the Canadian RADARSAT-2 will acquire space-borne, polarimetric data making analysis based on these methods important.
    Original languageEnglish
    Title of host publicationInternational Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007.
    PublisherIEEE
    Publication date2007
    ISBN (Print)1-4244-0846-6
    DOIs
    Publication statusPublished - 2007
    EventMultiTemp2007 - Leuven, Belgium
    Duration: 1 Jan 2007 → …

    Conference

    ConferenceMultiTemp2007
    CityLeuven, Belgium
    Period01/01/2007 → …

    Bibliographical note

    Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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