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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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Principais autores: Bochen Duan, Shengping Wang, Changlong Luo, Zhigao Chen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-03-01
coleção:Journal of Marine Science and Engineering
Assuntos:
subsea pipelines
pipeline detection
sub-bottom profiler (SBP) system
YOLOv5 object detection algorithm
Acesso em linha:https://www.mdpi.com/2077-1312/12/3/451
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