Results 31 to 40 of about 20,770 (204)

Present status and challenges of underwater acoustic target recognition technology: A review

open access: yesFrontiers 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
doaj   +1 more source

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 seem far from satisfactory in practical underwater scenarios. Although underwater acoustic signals are
Xie, Yuan, Ren, Jiawei, Xu, Ji
openaire   +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   +1 more source

Acoustic Shooting and Bounce Ray Method for Calculating Echoes of Complex Underwater Targets

open access: yesApplied Sciences, 2022
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
doaj   +1 more source

Underwater Acoustic Target Recognition Based on Deep Residual Attention Convolutional Neural Network

open access: yesJournal 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
doaj   +1 more source

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   +1 more source

A Torpedo Target Recognition Method Based on the Correlation between Echo Broadening and Apparent Angle

open access: yesApplied Sciences, 2022
As acoustic decoys can simulate the scale of the target through orderly control of the echo delay, simulated acoustic decoys have scale characteristics similar to those of the scaled target.
Zirui Wang   +4 more
doaj   +1 more source

MGFGNet: an automatic underwater acoustic target recognition method based on the multi-gradient flow global feature enhancement network

open access: yesFrontiers in Marine Science, 2023
The recognition of underwater acoustic targets plays a crucial role in marine vessel monitoring. However, traditional underwater target recognition models suffer from limitations, including low recognition accuracy and slow prediction speed.
Zhe Chen   +6 more
doaj   +1 more source

Automatic target recognition of surface vessels in passive sonar using emerging technologies of artificial intelligence and deep learning [PDF]

open access: yesآینده‌پژوهی دفاعی, 2023
Objective: Artificial intelligence is a part of computer science that emphasizes the creation of intelligent machines in defense equipment and military equipment.
hassan akbarian   +1 more
doaj   +1 more source

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