NEURAL NETWORKS WITH OPTICAL CORRELATION INPUTS FOR RECOGNIZING ROTATED TARGETS

摘要

Backpropagation-trained neural networks with optical correlation inputs are used to predict target rotation and to synthesize simplified optical correlation filters for rotated targets.