Neural networks with optical-correlation inputs for recognizing rotated targets

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

doi:10.1117/12.21167

1 August 1990 Neural networks with optical-correlation inputs for recognizing rotated targets

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

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21167
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

Steven C. Gustafson, David L. Flannery, and Darren M. Simon "Neural networks with optical-correlation inputs for recognizing rotated targets", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21167

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