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An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition
Regular Papers | Updated:2026-02-11
    • An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition

      Enhanced Publication
    • 一种基于注意力机制的主动声呐目标多域特征融合识别方法
    • In the field of underwater acoustics, researchers have made significant progress in active sonar target recognition. They proposed an attention mechanism-based multi-domain feature fusion approach, using 1DCNN-LSTM and 2DCNN with channel attention to extract deep features. This method effectively eliminates redundant information and enhances feature representation, showing superior performance and stable generalization ability in low signal-clutter ratio scenarios.
    • ENGINEERING Information Technology & Electronic Engineering   Vol. 27, Issue 2, Pages: 1-12(2026)
    • DOI:10.1631/ENG.ITEE.2025.0177    

      CLC: TP183;TN911.7
    • Received:13 December 2025

      Revised:2026-01-13

      Published:2026-02

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  • Tongjing SUN, Haoran XU, Shishuo REN, et al. An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition[J]. ENGINEERING Information Technology & Electronic Engineering, 2026, 27(2): 1-12. DOI: 10.1631/ENG.ITEE.2025.0177.

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