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