Multi-head attention based feature fusion for Underwater Acoustic Target Recognition(UATR)

Key Points

• Improved target recognition achieves over 90% accuracy with advanced feature fusion techniques.
• Utilizing multi-head attention led to substantial improvements in distinguishing between different underwater acoustic signals.
• Observational analysis employed machine learning algorithms to assess the effectiveness of new feature fusion methods in UATR.
• Highlights the need for continued innovation in underwater acoustic target recognition for more reliable identification.