Results 11 to 20 of about 3,400 (257)
IEEE Access, 2022 Accurate underwater target detection and recognition in complex marine environments has always been a challenge. There is a lot of information in underwater target radiation noise that is important for underwater target recognition.
Zhufeng Lei +4 more
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Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition remains a formidable challenge in underwater acoustic signal processing. Current target recognition approaches within underwater acoustic frameworks predominantly rely on acoustic image target recognition models ...
Zhe Chen +3 more
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Automatic Alignment Method of Underwater Charging Platform Based on Monocular Vision Recognition
Journal of Marine Science and Engineering, 2023 To enhance the crypticity and operational efficiency of unmanned underwater vehicle (UUV) charging, we propose an automatic alignment method for an underwater charging platform based on monocular vision recognition.
Aidi Yu +3 more
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Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks
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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Sonar image recognition of underwater target based on convolutional neural network
Xibei Gongye Daxue Xuebao, 2021 Underwater target recognition is one core technology of underwater unmanned detection. To improve the accuracy of underwater automatic target recognition, a sonar image recognition method based on convolutional neural network was proposed and the ...
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Underwater target recognition methods based on the framework of deep learning: A survey
International Journal of Advanced Robotic Systems, 2020 The accuracy of underwater target recognition by autonomous underwater vehicle (AUV) is a powerful guarantee for underwater detection, rescue, and security.
Bowen Teng, Hongjian Zhao
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The Journal of the Acoustical Society of America, 2022 Underwater acoustic target recognition is an intractable task due to the complex acoustic source characteristics and sound propagation patterns. Limited by insufficient data and narrow information perspective, recognition models based on deep learning seem far from satisfactory in practical underwater scenarios. Although underwater acoustic signals are
Yuan Xie, Jiawei Ren 0006, Ji Xu 0004
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Deep convolution stack for waveform in underwater acoustic target recognition [PDF]
Scientific Reports, 2021 AbstractIn 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. It leads to a lack of depth and structural imbalance of networks.
Shengzhao Tian +3 more
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Few-shot learning for joint model in underwater acoustic target recognition
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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Underwater acoustic target recognition method based on a joint neural network.
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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