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20 September 1987 ATR Systems: A Northrop Perspective
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Proceedings Volume 0750, Infrared Systems and Components; (1987)
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States
Automatic target recognition using state-of-the-art imaging sensors requires a combination of several related research areas in information processing: image feature extraction, pattern recognition, and artificial intelligence. The state of the art in these areas has advanced significantly in the last decade. Advances have also been made in the development of active and passive imaging sensors. These developments, combined with the advances in computers and microelectronics, enable the development of an Automatic Target Recognizer (ATR). However, there are no fully operational ATR's deployed today. The emphasis in ATR system development and testing has been on hardware rather than algorithms for information processing; also, more funds have been expended on sensors than on proces-sors. Overall sensor/processor system considerations, cost/performance trade-offs to match the mission requirements, and susceptibility to countermeasures have frequently been neglected. This paper points out critical technical issues for ATR's and explains Northrop's approach and activities in ATR development.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guner S. Robinson "ATR Systems: A Northrop Perspective", Proc. SPIE 0750, Infrared Systems and Components, (20 September 1987);

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