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

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    • An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition
    • 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: 78-89(2026)
    • DOI:10.1631/ENG.ITEE.2025.0177    

      CLC: TP183
    • Received:13 December 2025

      Revised:2026-01-13

      Published:23 February 2026

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  • SUN Tongjing,XU Haoran,REN Shishuo,et al.An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition[J].ENGINEERING Information Technology & Electronic Engineering,2026,27(02):78-89. DOI: 10.1631/ENG.ITEE.2025.0177.

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