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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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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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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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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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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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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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 Supervised Feature-Separation Algorithm [PDF]
Sensors, 2018 For the purpose of improving the accuracy of underwater acoustic target recognition with only a small number of labeled data, we proposed a novel recognition method, including 4 steps: pre-processing, pre-training, fine-tuning and recognition.
Xiaoquan Ke, Fei Yuan, En Cheng
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Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition. [PDF]
Sensors (Basel), 2018 Underwater acoustic target recognition based on ship-radiated noise belongs to the small-sample-size recognition problems. A competitive deep-belief network is proposed to learn features with more discriminative information from labeled and unlabeled samples.
Yang H, Shen S, Yao X, Sheng M, Wang C.
europepmc +4 more sources