Evaluation of classification methods with polarimetric ALOS/PALSAR data

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

    Abstract

    This article compares four land cover classification methods using ALOS Palsar fully polarimetric data. Two methods are based on supervised classification and two on unsupervised classification. Both full polarimetric and intensity data were used. Fully polarimetric data gave better results (85.5%–80.8%) than intensity data only (84%–76.1%) but the differences in the overall accuracies between the methods were not more than 6%. When using intensity data only, classification results with HH and HV features were as good as using in additionally also VV, HH+VV and HH-VV bands.
    Original languageEnglish
    Title of host publicationForests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007
    Number of pages5
    EditionCD
    Publication statusPublished - 2007
    MoE publication typeNot Eligible
    EventForests and Remote Sensing: Methods and Operational Tools, Forestsat 2007 - Montpellier, France
    Duration: 5 Nov 20077 Nov 2007

    Conference

    ConferenceForests and Remote Sensing: Methods and Operational Tools, Forestsat 2007
    Abbreviated titleForestsat
    Country/TerritoryFrance
    CityMontpellier
    Period5/11/077/11/07

    Keywords

    • Polarimetric synthetic aperture radar
    • land cover

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