29 July 1994 High-performance real-time classification processor using conventional and neural processing techniques
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Future systems must intelligently preprocess an increasingly large volume of sensor data in real time within the constraints of an airborne environment. A compact, flightworthy, real time sensor processor has been developed which can host both conventional and neural processing algorithms. This will support a wide range of applications including high performance target classification from high resolution infrared imagery. The architecture features software reconfigurability to support different processing tasks and modular upgrade potential. Accurate classification of ship imagery has been demonstrated, using real airborne trials data produced under a range of operating conditions. The system is currently continuing to undergo airborne trials.
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Robert Shears, Robert Shears, } "High-performance real-time classification processor using conventional and neural processing techniques", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); doi: 10.1117/12.181038; https://doi.org/10.1117/12.181038

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