Two algorithms processing polarimetric synthetic-aperture-radar data found effective in assigning various parts of SAR images to classes representing different types of terrain. Partially automate interpretation of SAR imagery, reducing amount of photointerpretation needed and putting whole interpretation process on more quantitative and systematic basis. First algorithm implements Bayesian classification scheme "supervised" by use of training data. Second algorithm implements classification procedure unsupervised.


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    Title :

    Classification Of Terrain In Polarimetric SAR Images


    Contributors:

    Published in:

    Publication date :

    1993-03-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




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