Results 11 to 20 of about 12,636 (256)

Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey

Remote Sensing
Underwater acoustic target recognition has always played a pivotal role in ocean remote sensing. By analyzing and processing ship-radiated signals, it is possible to determine the type and nature of a target.
Sheng Feng, Shuqing Ma, Xiaoqian Zhu, Ming Yan   +3 more
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Underwater acoustic target recognition using attention-based deep neural network [PDF]

JASA Express Letters, 2021
Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but poor
Xu Xiao, Wenbo Wang, Qunyan Ren, Peter Gerstoft, Li Ma   +4 more
doaj   +4 more sources

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

Frontiers 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, Lei Xiaofang, Wang Na, Zhang Qingyang   +3 more
doaj   +3 more sources

A Novel Underwater Acoustic Target Recognition Method Based on MFCC and RACNN [PDF]

Sensors
In ocean remote sensing missions, recognizing an underwater acoustic target is a crucial technology for conducting marine biological surveys, ocean explorations, and other scientific activities that take place in water.
Dali Liu, Hongyuan Yang, Weimin Hou, Baozhu Wang   +3 more
doaj   +2 more sources

Underwater Acoustic Target Recognition with a Residual Network and the Optimized Feature Extraction Method

Applied Sciences, 2021
Underwater Acoustic Target Recognition (UATR) remains one of the most challenging tasks in underwater signal processing due to the lack of labeled data acquisition, the impact of the time-space varying intrinsic characteristics, and the interference from
Feng Hong, Chengwei Liu, Lijuan Guo, Feng Chen, Haihong Feng   +4 more
doaj   +2 more sources

Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network

Remote Sensing, 2019
A method with a combination of multi-dimensional fusion features and a modified deep neural network (MFF-MDNN) is proposed to recognize underwater acoustic targets in this paper.
Xingmei Wang, Anhua Liu, Yu Zhang, Fuzhao Xue   +3 more
doaj   +3 more sources

A Survey of Underwater Acoustic Target Recognition Methods Based on Machine Learning

Journal of Marine Science and Engineering, 2023
Underwater acoustic target recognition (UATR) technology has been implemented widely in the fields of marine biodiversity detection, marine search and rescue, and seabed mapping, providing an essential basis for human marine economic and military ...
Xinwei Luo, Lu Chen, Hanlu Zhou, Hongli Cao   +3 more
doaj   +3 more sources

Hybrid local-global representation learning with stochastic Gaussian classification for underwater acoustic target recognition [PDF]

Scientific Reports
Underwater acoustic target recognition is critical for a broad spectrum of marine applications, yet its performance is often hindered by environmental variability, non-stationary propagation effects, and inherently low signal-to-noise ratio conditions ...
Cheng Yang, Qisheng Xu, Ming Feng, Hui Yang, Yulei Yuan, Yutao Dou, Junyi Zhao, Kele Xu   +7 more
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Underwater acoustic target recognition under working conditions mismatch

Xibei Gongye Daxue Xuebao
The working conditions of the ship will have a great impact on the radiated noise of the ship. Even if the same ship is traveling in the same sea area, different working conditions will produce different radiated noise, thus affecting the accuracy of ...
WANG Haitao, JIN Anqi, YANG Shuang, ZENG Xiangyang   +3 more
doaj   +2 more sources

An Underwater Acoustic Target Recognition Method Based on Combined Feature With Automatic Coding and Reconstruction

IEEE Access, 2021
Underwater acoustic target recognition is one of the main functions of the SONAR systems. In this paper, a target recognition method based on combined features with automatic coding and reconstruction is proposed to classify ship radiated noise signals ...
Xinwei Luo, Yulin Feng, Minghong Zhang
doaj   +3 more sources