Signatures of Polarimetric Parameters and their Implications on Land Cover Classification

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    Abstract

    Knowledge-based or rule-based classification schemes provide robust classification of normally a few major classes. In order to determine optimum polarimetric parameters for such classification schemes, a study has been performed, where the separability between different sets of major classes using many different polarimetric parameters has been investigated using airborne, C- and L-band polarimetric SAR data.
    Original languageEnglish
    Title of host publicationIGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM : SENSING AND UNDERSTANDING OUR PLANET
    PublisherIEEE
    Publication date2007
    Pages4195-4198
    ISBN (Print)978-1-4244-1211-2
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE International Geoscience and Remote Sensing Symposium - Barcelona, Spain
    Duration: 23 Jul 200728 Jul 2007
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4422707

    Conference

    Conference2007 IEEE International Geoscience and Remote Sensing Symposium
    Country/TerritorySpain
    CityBarcelona
    Period23/07/200728/07/2007
    Internet address

    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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