Identification of Unknown Marine Debris by ROVs Using Deep Learning and Different Convolutional Neural Network Structures

Identification of Unknown Marine Debris by ROVs Using Deep Learning and Different Convolutional Neural Network Structures

We study the problem of underwater debris classification and removal by remotely operated vehicles. This task is particularly important for subsea oil and gas fields exploitation. The classification of underwater debris is a challenging and difficult problem because of the complexity of underwater e...

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Bibliographic Details
Main Authors: Mahmoud Assem, Ibrahim M. Hassab-Allah, Mohamed E.H. Eltaib, Mahmoud Abdelrahim
Format: Article
Language:Arabic
Published: Assiut University, Faculty of Engineering 2024-01-01
Series:JES: Journal of Engineering Sciences
Subjects:
keywords— remotely operated vehicles
marine debris
deep learning
convolutional neural network
image processing
Online Access:https://jesaun.journals.ekb.eg/article_330062_f6ebf6d22bda583c2f03288be414fbb2.pdf

Internet

https://jesaun.journals.ekb.eg/article_330062_f6ebf6d22bda583c2f03288be414fbb2.pdf

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