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15 April 1983 Performance Of Synthetic Discriminant Functions For Infrared Ship Classification
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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.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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