Our unified synthetic discriminant function (SDF) filter synthesis technique using the correlation matrix of the image training set is reviewed. Four different synthetic discriminant functions for intra-class recognition, inter-class discrimination and both intra and inter-class pattern recognition are considered. All techniques proposed are appropriate for object identification, location and classification in the presence of 3-D geometrical distortions in the input object. Initial results obtained on a set of four different classes of infrared ship imagery are presented. Excellent performance (over 90% correct classification) was achieved.


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    Titel :

    Performance Of Synthetic Discriminant Functions For Infrared Ship Classification


    Beteiligte:
    Casasent, David (Autor:in) / Sharma, Vinod (Autor:in)

    Kongress:

    10th Intl Optical Computing Conf ; 1983 ; Cambridge,United States


    Erschienen in:

    Erscheinungsdatum :

    1983-04-15





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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