1 August 1991 Continuous recognition of sonar targets using neural networks
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kootala P. Venugopal, Abhijit S. Pandya, 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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