Aimpoint selection-a heterogeneous neural network approach

Computer vision is playing an ever more critical role in the expanding world of computer automation. Neural network algorithms have promised to increase the performance and amount of processing that can be done by computer vision systems by reducing the complexity of image processing algorithms and by reducing the amount of time required to produce these image processing algorithms. While homogeneous neural network algorithms have, in many cases, failed to deliver on the performance improvements promised, heterogeneous neural network algorithms have delivered greatly improved performance. A heterogeneous neural network solution to aimpoint selection for an antiship missile is presented.