Convolutional Neural Network With Second-Order Pooling for Underwater Target Classification
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DOI: 10.1109/jsen.2018.2886368
Abstract: Underwater target classification using passive sonar remains a critical issue due to the changeable ocean environment. Convolutional neural networks (CNNs) have shown success in learning invariant features using local filtering and max pooling. In this… read more here.
Keywords: order pooling; underwater target; convolutional neural; target classification ... See more keywords