Results 11 to 20 of about 4,375,078 (278)

Feature Extraction Methods for Underwater Acoustic Target Recognition of Divers

open access: yesSensors
The 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
doaj   +4 more sources

Sonar image recognition of underwater target based on convolutional neural network

open access: yesXibei 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 ...
Leilei Jin, Changsheng Yang, Hong LIANG
doaj   +3 more sources

Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition

open access: yesThe 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 ...
Jiawei Ren   +5 more
core   +4 more sources

Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks

open access: yesSensors, 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
doaj   +2 more sources

Underwater acoustic target recognition method based on a joint neural network.

open access: yesPLoS 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
doaj   +2 more sources

Multi-Scale Frequency-Adaptive-Network-Based Underwater Target Recognition [PDF]

open access: yesJournal of Marine Science and Engineering
Due to the complexity of underwater environments, underwater target recognition based on radiated noise has always been challenging. This paper proposes a multi-scale frequency-adaptive network for underwater target recognition.
Lixu Zhuang   +3 more
doaj   +4 more sources

Underwater Target Noise Recognition and Classification Technology based on Multi-Classes Feature Fusion

open access: yesXibei Gongye Daxue Xuebao, 2020
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

doaj   +2 more sources

Guiding the underwater acoustic target recognition with interpretable contrastive learning [PDF]

open access: yesOCEANS 2023 - Limerick, 2023
Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based systems have become the mainstream approach for underwater acoustic target ...
Ren, Jiawei, Xie, Yuan, Xu, Ji
core   +3 more sources

VFR: The Underwater Acoustic Target Recognition Using Cross-Domain Pre-Training with FBank Fusion Features

open access: yesJournal of Marine Science and Engineering, 2023
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
doaj   +2 more sources

Underwater Acoustic Target Recognition Based on Attention Residual Network

open access: yesEntropy, 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.
Xuerong Cui   +9 more
core   +5 more sources

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