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Optical correlator based target detection, recognition, classification, and tracking

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Abstract

A dedicated automatic target recognition and tracking optical correlator (OC) system using advanced processing technology has been developed. Rapidly cycling data-cubes with size, shape, and orientation are employed with software algorithms to isolate correlation peaks and enable tracking of targets in maritime environments with future track prediction. The method has been found superior to employing maximum average correlation height filters for which the correlation peak intensity drops off in proportion to the number of training images. The physical dimensions of the OC system may be reduced to as small as 2in.×2in.×3in. (51mm×51mm×76mm) by modifying and minimizing the OC components.

© 2012 Optical Society of America

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