Leveraging Prior Knowledge in Semi-Supervised Learning for Precise Target Recognition
Underwater acoustic target recognition (UATR) is challenged by complex marine noise, scarce labeled data, and inadequate multi-scale feature extraction in conventional methods. This study proposes DART-MT, a semi-supervised framework that integrates a Dual Attention Parallel Residual Network Transfo...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2025-07-01
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| Schriftenreihe: | Remote Sensing |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2072-4292/17/14/2338 |
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