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.
Performance Of Synthetic Discriminant Functions For Infrared Ship Classification
10th Intl Optical Computing Conf ; 1983 ; Cambridge,United States
Proc. SPIE ; 0422
1983-04-15
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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