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.”