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, Steven C. Gustafson, David L. Flannery, David L. Flannery, Darren M. Simon, 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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