Underwater acoustic target recognition method based on a joint neural network. [PDF]
PLoS ONE, 2022 To improve the recognition accuracy of underwater acoustic targets by artificial neural network, this study presents a new recognition method that integrates a one-dimensional convolutional neural network and a long short-term memory network.
Xing Cheng Han +3 more
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Underwater Acoustic Target Recognition Based on Attention Residual Network [PDF]
Entropy, 2022 Underwater acoustic target recognition is very complex due to the lack of labeled data sets, the complexity of the marine environment, and the interference of background noise.
Juan Li +4 more
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Feature Extraction Methods for Underwater Acoustic Target Recognition of Divers [PDF]
SensorsThe extraction of typical features of underwater target signals and excellent recognition algorithms are the keys to achieving underwater acoustic target recognition of divers.
Yuchen Sun +6 more
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An Underwater Acoustic Target Recognition Method Based on Restricted Boltzmann Machine [PDF]
Sensors, 2020 This article focuses on an underwater acoustic target recognition method based on target radiated noise. The difficulty of underwater acoustic target recognition is mainly the extraction of effective classification features and pattern classification ...
Xinwei Luo, Yulin Feng
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Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks [PDF]
Sensors, 2021 Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target feature extraction and recognition using ship-radiated noise.
Gang Hu, Kejun Wang, Liangliang Liu
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Deep convolution stack for waveform in underwater acoustic target recognition [PDF]
Scientific Reports, 2021 In underwater acoustic target recognition, deep learning methods have been proved to be effective on recognizing original signal waveform. Previous methods often utilize large convolutional kernels to extract features at the beginning of neural networks.
Shengzhao Tian +3 more
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Few-shot learning for joint model in underwater acoustic target recognition [PDF]
Scientific Reports, 2023 In underwater acoustic target recognition, there is a lack of massive high-quality labeled samples to train robust deep neural networks, and it is difficult to collect and annotate a large amount of base class data in advance unlike the image recognition
Shengzhao Tian +4 more
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STM: Spectrogram Transformer Model for Underwater Acoustic Target Recognition
Journal of Marine Science and Engineering, 2022 With the evolution of machine learning and deep learning, more and more researchers have utilized these methods in the field of underwater acoustic target recognition.
Peng Li +4 more
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Underwater Acoustic Target Recognition Based on Deep Residual Attention Convolutional Neural Network
Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition methods based on time-frequency analysis have shortcomings, such as missing information on target characteristics and having a large computation volume, which leads to difficulties in improving the accuracy and ...
Fang Ji +4 more
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Present status and challenges of underwater acoustic target recognition technology: A review
Frontiers in Physics, 2022 Future naval warfare has placed high demands on underwater targets’ target detection, target recognition, and opposition resistance, among other things. However, the ocean’s complex underwater acoustic environment and the evolving “stealth” technology of
Lei Zhufeng +3 more
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