Results 21 to 30 of about 12,636 (256)
The Underwater Acoustic Target Recognition Algorithm Based on Evidence Clustering [PDF]
In underwater acoustic target recognition, the target signal is usually complex and the samples which are difficult to obtain also have some uncertain information.
Yang Zhang, Jianhua Yang, Hong Hou
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Joint learning model for underwater acoustic target recognition
Sheng-Zhao Tian +3 more
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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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A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition. [PDF]
Yang H, Li J, Shen S, Xu G.
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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
Xie, Yuan, Ren, Jiawei, Xu, Ji
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Underwater acoustic target recognition is a hot research area in acoustic signal processing. With the development of deep learning, feature extraction and neural network computation have become two major steps of recognition. Due to the complexity of the
Ji Wu +5 more
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Class-Incremental Learning-Based Few-Shot Underwater-Acoustic Target Recognition
This paper proposes an underwater-acoustic class-incremental few-shot learning (UACIL) method for streaming data processing in practical underwater-acoustic target recognition scenarios. The core objective is to expand classification capabilities for new
Wenbo Wang +3 more
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Acoustic Shooting and Bounce Ray Method for Calculating Echoes of Complex Underwater Targets
The acoustic scattering characteristics of a target are of great significance to the design of underwater acoustic detection systems. With the improvement in underwater weapon detection ability, the precision and accuracy of underwater target echo ...
Gang Zhao +4 more
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Underwater Acoustic Target Recognition Based on Deep Residual Attention Convolutional Neural Network
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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As one of the main signal sources of underwater acoustic target recognition, the target noise signal is difficult to characterize the characteristics of the target from clearly comparing with the multi-sensor detection technology, which may lead to lower
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