A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification

Due to the strong speckle noise caused by the seabed reverberation which makes it difficult to extract discriminating and noiseless features of a target, recognition and classification of underwater targets using side-scan sonar (SSS) images is a big challenge. Moreover, unlike classification of opt...

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Bibliografische Detailangaben

Hauptverfasser:	Zhen Cheng, Guanying Huo, Haisen Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-01-01
Schriftenreihe:	Remote Sensing
Schlagworte:	side-scan sonar image classification multi-domain collaborative transfer learning multi-scale repeated attention mechanism multi-domain datasets feature representation
Online-Zugang:	https://www.mdpi.com/2072-4292/14/2/355
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