Performance Of Synthetic Discriminant Functions For Infrared Ship Classification

David Casasent; Vinod Sharma

doi:10.1117/12.936152

15 April 1983 Performance Of Synthetic Discriminant Functions For Infrared Ship Classification

David Casasent, Vinod Sharma

Proceedings Volume 0422, 10th Intl Optical Computing Conf; (1983) https://doi.org/10.1117/12.936152
Event: 10th International Optical Computing Conference, 1983, Cambridge, United States

Abstract

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.

Citation Download Citation

David Casasent and Vinod Sharma "Performance Of Synthetic Discriminant Functions For Infrared Ship Classification", Proc. SPIE 0422, 10th Intl Optical Computing Conf, (15 April 1983); https://doi.org/10.1117/12.936152

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