Evaluation of the Wishart test statistics for polarimetric SAR data

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    Abstract

    A test statistic for equality of two covariance matrices following the complex Wishart distribution has previously been used in new algorithms for change detection, edge detection and segmentation in polarimetric SAR images. Previously, the results for change detection and edge detection have been quantitatively evaluated. This paper deals with the evaluation of segmentation. A segmentation performance measure originally developed for single-channel SAR images has been extended to polarimetric SAR images, and used to evaluate segmentation for a merge-using-moment algorithm for polarimetric SAR data.
    Original languageEnglish
    Title of host publicationProceedings. 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003. IGARSS '03.
    Volume2
    PublisherIEEE
    Publication date2003
    Pages699-701
    ISBN (Print)0-7803-7929-2
    DOIs
    Publication statusPublished - 2003
    Event2003 IEEE International Geoscience and Remote Sensing Symposium - Toulouse, France
    Duration: 21 Jul 200325 Jul 2003
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9010

    Conference

    Conference2003 IEEE International Geoscience and Remote Sensing Symposium
    Country/TerritoryFrance
    CityToulouse
    Period21/07/200325/07/2003
    Internet address

    Bibliographical note

    Copyright: 2003 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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