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• W2343546856 abstract "■ Although a number of object-recognition techniques have been developed to process terrain scenes scanned by laser radar (ladar), these techniques have had limited success in target discrimination, in part due to low-resolution data and limits in available computation power. We present a pose-independent automatic target detection and recognition system that uses data from an airborne threedimensional imaging ladar sensor. The automatic target recognition system uses geometric shape and size signatures from target models to detect and recognize targets under heavy canopy and camouflage cover in extended terrain scenes. The system performance was demonstrated on five measured scenes with targets both out in the open and under heavy canopy cover, where the target occupied between 1% to 10% of the scene by volume. The automatic target recognition section of the system was successfully demonstrated for twelve measured data scenes with targets both out in the open and under heavy canopy and camouflage cover. Correct target identification was also demonstrated for targets with multiple movable parts in arbitrary orientations. The system achieved a high recognition rate along with a low false-alarm rate. Immediate benefits of the presented work are in the area of automatic target recognition of military ground vehicles, in which the vehicles of interest may include articulated components with variable position relative to the body, and may come in many possible configurations. Other application areas include human detection and recognition for homeland security, and registration of large or extended terrain scenes." @default.
• W2343546856 created "2016-06-24" @default.
• W2343546856 creator A5013072813 @default.
• W2343546856 creator A5039632784 @default.
• W2343546856 date "2005-01-01" @default.
• W2343546856 modified "2023-10-01" @default.
• W2343546856 title "Pose-Independent Automatic Target Detection and Recognition Using 3D Laser Radar Imagery" @default.
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