Object Recognition Using Range Images.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
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This study involved forming synthetic range images and investigating correlation as a target recognition technique. The synthetic range images were formed with a computer program, which models the laser scanning of an air-to-ground missile. With this range imaging program, a model of a Russian T-72 tank was formed, which was subsequently used in investigating image correlation. In the investigation into image correlation, the effects of background clutter and target rotation on a range images correlation coefficient were examined, as well as possible methods of correcting for these effects. Other factors affecting the correlation coefficient that were considered were pixel dropouts and the beam spot size of the laser. Pixel dropouts were shown to be detrimental to a range images correlation coefficient, but could be corrected by using a median replacement technique. Also shown was that for a certain of on target beam diameters, as the diameter of the scanning laser beam increased, so did the correlations discerning ability.
- Lasers and Masers
- Air- and Space-Launched Guided Missiles
- Optical Detection and Detectors