The effect of blurring on aircraft classification by the moment method

Mathematics

Scientific paper

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Aircraft, Blurring, Combat, Optical Tracking, Pattern Recognition, Radar Tracking, Television Equipment, Airborne Equipment, Classifying, Computer Techniques, Mathematical Models, Microprocessors, Telescopes

Scientific paper

The Television Sighting Unit (TVSU) is a system for the tracking of threats by combat aircraft which combines search radar with a telescope mounted on the aircraft. The radar acquires the target and locks the telescope onto it. At that point the target can be tracked optically. The image acquired via the telescope is then displayed on a TV screen for identification. An optical device capable of acquiring images at very long ranges (75-100 miles) can be visualized. An on-board microprocessor would perform various image enhancement and classification algorithms on the images and ultimately provide a judgement as to the nature of the threat. The computer itself could even decide and execute the appropriate action to be taken. The ability to classify identify optical images of airplanes by computer is crucial to the above scenario. An approach to the problem, the moment method, is being investigated.

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