TY - GEN
T1 - Research on Ship Target Recognition Based on Optimized VMD and Transformer
AU - Yang, Jiawen
AU - Hu, Qiao
AU - Wang, Zirui
AU - Wei, Hongbo
AU - Yang, Enhui
AU - Jiang, Guangyu
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Underwater acoustic target recognition faces challenges due to low signal-to-noise ratio (SNR) in ship- radiated noise and limited dataset availability. To address these issues, this paper proposes an integrated approach combining variational mode decomposition (VMD) optimized by the grey wolf optimizer (GWO) for feature enhancement, Wasserstein generative adversarial networks (WGAN) with continuous wavelet transform for data augmentation, and a Swin-Transformer network for classification. Experimental results on the ShipsEar dataset demonstrate 96% recognition accuracy across five ship classes, validating the effectiveness of the proposed method for high-precision underwater target recognition.
AB - Underwater acoustic target recognition faces challenges due to low signal-to-noise ratio (SNR) in ship- radiated noise and limited dataset availability. To address these issues, this paper proposes an integrated approach combining variational mode decomposition (VMD) optimized by the grey wolf optimizer (GWO) for feature enhancement, Wasserstein generative adversarial networks (WGAN) with continuous wavelet transform for data augmentation, and a Swin-Transformer network for classification. Experimental results on the ShipsEar dataset demonstrate 96% recognition accuracy across five ship classes, validating the effectiveness of the proposed method for high-precision underwater target recognition.
KW - Generative Adversarial Network
KW - Self-Attention
KW - Ship Target
KW - Variational Mode Decomposition
UR - https://www.scopus.com/pages/publications/105034738726
U2 - 10.1109/ICRAIC67376.2025.11376318
DO - 10.1109/ICRAIC67376.2025.11376318
M3 - 会议稿件
AN - SCOPUS:105034738726
T3 - Proceedings - 2025 5th International Conference on Robotics, Automation and Intelligent Control, ICRAIC 2025
BT - Proceedings - 2025 5th International Conference on Robotics, Automation and Intelligent Control, ICRAIC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Robotics, Automation and Intelligent Control, ICRAIC 2025
Y2 - 31 October 2025 through 2 November 2025
ER -