Results 71 to 80 of about 1,249 (158)

Underwater Target Recognition with Fusion of Multi-Domain Temporal Features

Acoustics
The dynamic nature of acoustic environments—particularly the fluctuation of underwater channels and time-varying target observation angles—poses significant challenges for active sonar target recognition, a problem further aggravated by the scarcity of ...
Xiaochun Liu, Chenyu Wang, Yunchuan Yang, Xiangfeng Yang, Youfeng Hu, Jianguo Liu   +5 more
doaj   +1 more source

Enhancing Underwater Acoustic Target Recognition Through Advanced Feature Fusion and Deep Learning [PDF]

Underwater Acoustic Target Recognition (UATR) is critical to maritime traffic management and ocean monitoring. However, underwater acoustic analysis is fraught with difficulties.
Yanghong Zhao, Li Huang, Guohao Xie, Haoyu Chen, Mingsong Chen   +4 more
core   +1 more source

Effectiveness Evaluation of Intelligent UUV Target Recognition and Counter-contermeasure Based on TOPSIS with Weighting Combination

水下无人系统学报
At present, the operational environment for underwater acoustic contermeasure is increasingly complicated. The emphasis on future underwater warfare is mainly focused on the contermeasure and counter-contermeasure of intelligent underwater unmanned ...
Xu WANG, Jinming LI, Zhaoyong MAO, Wenjun DING   +3 more
doaj   +1 more source

Underwater Acoustic Target Recognition based on Smoothness-inducing Regularization and Spectrogram-based Data Augmentation [PDF]

Underwater acoustic target recognition is a challenging task owing to the intricate underwater environments and limited data availability. Insufficient data can hinder the ability of recognition systems to support complex modeling, thus impeding their ...
Xie, Yuan, Wang, Wenchao, Xu, Ji
core   +2 more sources

The computation of generalized embeddings for underwater acoustic target recognition using contrastive learning

Applied Acoustics
The increasing level of sound pollution in marine environments poses an increased threat to ocean health, making it crucial to monitor underwater noise. By monitoring this noise, the sources responsible for this pollution can be mapped. Monitoring is performed by passively listening to these sounds.
HI Hummel (Hilde), A.W. Gansekoele (Arwin), S. Bhulai (Sandjai), R.D. van der Mei (Rob)   +3 more
openaire   +3 more sources

A scheme to analyze the influence of ocean sound propagation on passive sonar target classification and recognition

AIP Advances
The time-varying, space-varying, and frequency-varying characteristics of the marine environment severely affect the classification and recognition of underwater passive sonar targets.
Chunyu Kang, Liufang Fu, Zhijun Xia, Linzhou Xu, Yi Zhang   +4 more
doaj   +1 more source

An Underwater Target Recognition Method Based on Feature Fusion and Balanced Ensemble Transfer Learning

Journal of Marine Science and Engineering
In underwater target recognition scenarios, challenges arise as a result of the limited representational capability of acoustic images with single time-frequency features and poor recognition performance due to class imbalances in sample numbers.
Haoqian Zhang, Hong Liang, Linfeng Zhu, Wenbo Gou   +3 more
doaj   +1 more source

UAPT: an underwater acoustic target recognition method based on pre-trained Transformer

Multimedia Systems
Abstract The Convolutional Neural Network (CNN) model in underwater acoustic target recognition (UATR) research reveals limitations arising from its inability to capture long-distance dependencies, impeding its capacity to focus on global information within the underwater acoustic signal.
Jun Tang 0012, Enxue Ma, Yang Qu, Wenbo Gao, Yuchen Zhang, Lin Gan 0003   +5 more
openaire   +1 more source

A Novel Multi-Feature Fusion Model Based on Pre-Trained Wav2vec 2.0 for Underwater Acoustic Target Recognition [PDF]

Although recent data-driven Underwater Acoustic Target Recognition (UATR) methods have played a dominant role in marine acoustics, they suffer from complex ocean environments and rather small datasets. To tackle such challenges, researchers have resorted
Yangtao Xue, Peican Zhu, Zijun Pu, Xiaodong Cui, Qunfei Zhang   +4 more
core   +1 more source

Spectral Denoising and Line Spectrum Extraction for Low-Frequency Underwater Acoustic Signals

Applied Sciences
In Underwater Acoustic Target Recognition (UATR), accurately extracting spectral lines from time–frequency spectra in complex ocean environments faces three critical challenges: low-frequency spectral confusion, line spectrum and noise mixture, and a ...
Rui Xiang, Jie Yang, Ke Wang, Tianxiang He, Jinsong Xia, Junlin Zhou, Yan Fu, Duanbing Chen   +7 more
doaj   +1 more source