Deep neural network for oil spill detection using Sentinel-1 data: application to Egyptian coastal regions

Deep neural network for oil spill detection using Sentinel-1 data: application to Egyptian coastal regions

AbstractBuilding an oil spill segmentation model is very challenging because of the limited available information on oil spill accidents. Therefore, this paper proposes a custom data generator based on Segmentation Network (Seg-Net) model implemented in Conditional Generative Adversarial Network (CG...

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Bibliographic Details
Main Authors: Samira Ahmed, Tamer ElGharbawi, Mahmoud Salah, Mahmoud El-Mewafi
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Oil spills
SAR
deep learning
segmentation
generative adversarial network
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2022.2155998

Internet

https://www.tandfonline.com/doi/10.1080/19475705.2022.2155998

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