Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images

Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images

Side-scan sonar (SSS) is a critical tool in marine geophysical exploration, enabling the detection of seabed structures and geological phenomena. However, the manual interpretation of SSS images is time-consuming and relies heavily on expertise, limiting its efficiency and scalability. This study ad...

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Bibliographic Details
Main Authors: Xing Du, Yongfu Sun, Yupeng Song, Lifeng Dong, Changfei Tao, Dong Wang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Journal of Marine Science and Engineering
Subjects:
side-scan sonar
deep learning
underwater engineering structures
marine-PULSE dataset
data expansion
Online Access:https://www.mdpi.com/2077-1312/13/3/424
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