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

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 mechanism for underwater acoustic target recognition...

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Hauptverfasser: Yufei ZHANG, Mei ZHAO, Changqing HU, Zheng GUO
Format: Artigo
Sprache:Chinês
Veröffentlicht: Science Press (China) 2025-10-01
Schriftenreihe:水下无人系统学报
Schlagworte:
underwater acoustic target recognition
multi-feature fusion
attention mechanism
one-dimensional convolutional neural network
Online Zugang:https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2025-0053
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