1 August 1991 Continuous recognition of sonar targets using neural networks
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Abstract
A neural network (NN) approach for the continuous recognition of undersea targets from side- scan sonar returns is presented. This approach takes more than one return at a time, thereby enabling the network to learn the spectral temporal dependencies of consecutive returns. The horizontal distance scanned at a time could be expanded by increasing the number of groups in the input layer of the network. Also, a simple and powerful stochastic algorithm called Alopex is described for the training of the network. The studies and results with approach are described.
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Kootala P. Venugopal, Kootala P. Venugopal, Abhijit S. Pandya, Abhijit S. Pandya, Raghavan Sudhakar, Raghavan Sudhakar, } "Continuous recognition of sonar targets using neural networks", Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); doi: 10.1117/12.44865; https://doi.org/10.1117/12.44865
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