Results 141 to 150 of about 20,770 (204)

Intelligent Recognition of Underwater Acoustic Target Noise on Underwater Glider Platform

2018 Chinese Automation Congress (CAC), 2018
The underwater acoustic target detection system based on the underwater glider platform requires the platform itself to have the ability of target automatic tracking, identification and evaluation, but the traditional methods of underwater target noise identification have strong human-computer interaction characteristics.
Zhang Shao-Kang, Tian De-Yan, Wang Chao, Zhang Xiao-Chuan   +3 more
openaire   +1 more source

Constructing a Multi-Modal Based Underwater Acoustic Target Recognition Method With a Pre-Trained Language-Audio Model

IEEE Transactions on Geoscience and Remote Sensing
Underwater acoustic target recognition (UATR) aims to accurately identify radiated acoustic signals from ships in complex maritime environments. The challenges of this task lay in how to explore discriminative representation from complex and limited ...
Bowen Fu, Jiangtao Nie, Wei Wei, Lei Zhang   +3 more
semanticscholar   +1 more source

SSAST-Adapter: A Parameter-efficient Incremental Learning Algorithm for Underwater Acoustic Target Recognition

IEEE International Conference on Acoustics, Speech, and Signal Processing
Underwater acoustic target recognition involves identifying and classifying targets in underwater environments using acoustic signals. In recent years, deep learning has made significant progress in this field.
Qian Zhu, Qisheng Xu, Boqing Zhu, Zijian Gao, Lingbin Zeng, Kele Xu   +5 more
semanticscholar   +1 more source

Few-Shot Underwater Acoustic Target Recognition Using Domain Adaptation and Knowledge Distillation

IEEE Journal of Oceanic Engineering
The complex dynamics of the marine environment pose substantial challenges for underwater acoustic target recognition (UATR) systems, especially when there are limited training samples. However, existing image-based few-shot learning methods might not be
Xiaodong Cui, Zhuofan He, Yangtao Xue, Peican Zhu, Jing Han, Xuelong Li   +5 more
semanticscholar   +1 more source

Masking Hierarchical Tokens for Underwater Acoustic Target Recognition With Self-Supervised Learning

IEEE/ACM Transactions on Audio Speech and Language Processing
Deep learning has made data-driven methods effective in underwater acoustic target recognition (UATR) using passive sonar signals. However, a major current challenge is the limited availability of underwater acoustic data, leading to suboptimal ...
Sheng Feng, Xiaoqian Zhu, Shuqing Ma
semanticscholar   +1 more source

Channel–Spatial Aligned Global Knowledge Distillation for Underwater Acoustic Target Recognition

IEEE Journal of Oceanic Engineering
Knowledge distillation (KD) is a predominant technique to streamline deep-learning-based recognition models for practical underwater deployments. However, existing KD methods for underwater acoustic target recognition face two problems: 1) the knowledge ...
Xiaohui Chu, Zhenzhe Hou, Haoran Duan, Lijun Xu, Runze Hu   +4 more
semanticscholar   +1 more source

Underwater acoustic target recognition using graph convolutional neural networks

The Journal of the Acoustical Society of America, 2018
Motivated by recent progress in signal processing on graphs and convolutional neural networks, we have developed an underwater acoustic target recognition system based on graph convolutional neural networks. We evaluate our framework by application to various real-world datasets and validate its effectiveness.
Razi Sabara, Sergio Jesus
openaire   +1 more source

A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition

Expert systems with applications
Underwater acoustic target recognition (UATR) is of great significance for the protection of marine diversity and national defense security. The development of deep learning provides new opportunities for UATR, but faces challenges brought by the ...
Wei Huang, Shumeng Sun, Junpeng Lu, Zhenpeng Xu, Zhengyang Xiu, Hao Zhang   +5 more
semanticscholar   +1 more source

Multi-scale spectral feature extraction for underwater acoustic target recognition

Measurement, 2020
Abstract In this work, we proposed a multi-scale spectral (MSS) feature set for underwater acoustic target recognition problem, whose main difficulty lies in the fact that the acoustic signal is often submerged by intense environmental noise. With explicit physical meaning, the proposed MSS feature set fits better with traditional machine learning ...
Junjun Jiang, Tuo Shi, Min Huang, Zhongzhe Xiao   +3 more
openaire   +1 more source

An underwater acoustic target recognition system with band splitting and sub-band weighting.

Journal of the Acoustical Society of America
Current widely used data-driven machine learning underwater acoustic target recognition (UATR) methods encounter issues such as blurring of energy distribution and loss of position information of the original frequency bands.
Yuxuan Wang, Jiawei Ren, Yuan Xie, Ji Xu, Pengyuan Zhang   +4 more
semanticscholar   +1 more source