1 August 1990 Neural networks with optical-correlation inputs for recognizing rotated targets
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Abstract
Backpropagation-trained neural networks with optical correlation inputs are used to predict target rotation and to synthesize simplified optical correlation filters for rotated targets.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven C. Gustafson, David L. Flannery, Darren M. Simon, "Neural networks with optical-correlation inputs for recognizing rotated targets", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21167; https://doi.org/10.1117/12.21167
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