Results 61 to 70 of about 1,249 (158)

SKANN: Selective Kernel Audio Neural Networks for Underwater Mixed Ship Event Detection

CAAI Transactions on Intelligence Technology
Underwater acoustic target recognition (UATR) has become increasingly prevalent for ocean detection, localisation, and identification. However, due to the complexity and variability of underwater environments, especially in multi ship event environments,
Chun Shan, Tongyi Zou, Lingjun Zhao, Qinnan Zhang, Yafeng Zhu, Guizani Mohsen, Jing Qiu   +6 more
doaj   +1 more source

Development Status and Prospects of Acoustic Recognition Methods for Underwater Low-Speed Small Targets

水下无人系统学报
Underwater low-speed small targets, represented by divers and unmanned undersea vehicles, have become major threats to nearshore military and economic facilities due to their strong concealment, high maneuverability, and significant destructive potential.
Xionghou LIU, Kai LAI, Yixin YANG
doaj   +1 more source

A Novel ViT Model with Wavelet Convolution and SLAttention Modules for Underwater Acoustic Target Recognition [PDF]

Underwater acoustic target recognition (UATR) technology plays a significant role in marine exploration, resource development, and national defense security.
Biao Liu, Haoran Guo, Biao Wang, Tao Fang   +3 more
core   +1 more source

Multi-Task Mixture-of-Experts Model for Underwater Target Localization and Recognition

Remote Sensing
The scarcity of underwater acoustic data in deep and remote sea environments poses a significant challenge to data-driven target recognition models, severely restricting their performance. To address this challenge, this study presents a ray-theory-based
Peng Qian, Jingyi Wang, Yining Liu, Yingxuan Chen, Pengjiu Wang, Yanfa Deng, Peng Xiao, Zhenglin Li   +7 more
doaj   +1 more source

Identity Authentication Method Based on Voiceprint Features of Communication Payloads

水下无人系统学报
The security of underwater acoustic communication networks is an important guarantee for information sharing and cooperative operation of underwater communication.
Lu CHEN, Dexin ZHAO, Jun WANG, Hong GAO, Yingliang CHEN   +4 more
doaj   +1 more source

Underwater Acoustic Target Recognition Based on One-Dimensional Convolutional Neural Network with Attention Mechanism

水下无人系统学报
To address the issues of complex network parameters and high computational costs in deep learning-based underwater acoustic target recognition models, this study proposed a lightweight one-dimensional convolutional neural network with an attention ...
Yufei ZHANG, Mei ZHAO, Changqing HU, Zheng GUO   +3 more
doaj   +1 more source

Data augmentation based on highlight image models of underwater maneuvering target

Xibei Gongye Daxue Xuebao
With the development of underwater acoustic countermeasure technology, deep learning is applied to recognize echo geometry features of underwater targets, but it faces the problem of sample scarcity.
LIU Xiaochun, YANG Yunchuan, HU Youfeng, YANG Xiangfeng, LI Yongsheng, XIAO Lin   +5 more
doaj   +1 more source

Research on Underwater Acoustic Target Recognition Based on a 3D Fusion Feature Joint Neural Network [PDF]

In the context of a complex marine environment, extracting and recognizing underwater acoustic target features using ship-radiated noise present significant challenges.
Caiqin Jia, Siqi Feng, Yingliang Zhao, Weiting Xu, Xingcheng Han, Junxuan Han, Liming Wang, Li Zhang   +7 more
core   +1 more source

A Method for Underwater Acoustic Target Recognition Based on the Delay-Doppler Joint Feature [PDF]

With the aim of solving the problem of identifying complex underwater acoustic targets using a single signal feature in the Time–Frequency (TF) feature, this paper designs a method that recognizes the underwater targets based on the Delay-Doppler joint ...
Zhengkai Wang, Fei Yu, Lei Wang, Qing Lan, Zhichao Lv, Dongyue Han, Libin Du   +6 more
core   +1 more source

Explainable underwater target recognition models: principles, methods, and applications

Frontiers in Physics
With the increasing strategic importance of the ocean, underwater intelligent systems have become essential for signal processing, target recognition, and autonomous navigation.
Tianyang Xu, Hongjian Jia, Jixing Qin
doaj   +1 more source