Automatic Annotation of Subsea Pipelines Using Deep Learning

Automatic Annotation of Subsea Pipelines Using Deep Learning

Regulatory requirements for sub-sea oil and gas operators mandates the frequent inspection of pipeline assets to ensure that their degradation and damage are maintained at acceptable levels. The inspection process is usually sub-contracted to surveyors who utilize sub-sea Remotely Operated Vehicles...

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Bibliographic Details
Main Authors: Anastasios Stamoulakatos, Javier Cardona, Chris McCaig, David Murray, Hein Filius, Robert Atkinson, Xavier Bellekens, Craig Michie, Ivan Andonovic, Pavlos Lazaridis, Andrew Hamilton, Md Moinul Hossain, Gaetano Di Caterina, Christos Tachtatzis
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
visual inspection
sub-sea pipeline survey
multi-label image classification
deep learning
transfer learning
Online Access:https://www.mdpi.com/1424-8220/20/3/674

Internet

https://www.mdpi.com/1424-8220/20/3/674

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