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Multi-Module Fusion Model for Submarine Pipeline Identification Based on YOLOv5

In recent years, the surge in marine activities has increased the frequency of submarine pipeline failures. Detecting and identifying the buried conditions of submarine pipelines has become critical. Sub-bottom profilers (SBPs) are widely employed for pipeline detection, yet manual data interpretati...

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Библиографические подробности
Главные авторы: Bochen Duan, Shengping Wang, Changlong Luo, Zhigao Chen
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2024-03-01
Серии:Journal of Marine Science and Engineering
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Online-ссылка:https://www.mdpi.com/2077-1312/12/3/451
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