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Geomatics, Natural Hazards and Risk Volume 14, 2023 - Issue 1

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

Samira Ahmeda Public Works Engineering Department, Mansoura University, Mansoura, Egypt;b Civil Engineering Department, Delta Higher Institute for Engineering and Technology, Talkha, Egypt

Tamer ElGharbawic Faculty of Engineering, Suez Canal University, Ismailia, EgyptCorrespondence[email protected] [email protected]

https://orcid.org/0000-0001-8088-8748

Mahmoud Salahd Department of Surveying Engineering, Faculty of Engineering Shoubra, Benha University, Banha, Egypt

https://orcid.org/0000-0003-2328-5822

Mahmoud El-Mewafia Public Works Engineering Department, Mansoura University, Mansoura, Egypt

https://orcid.org/0000-0002-5104-1246

Pages 76-94 | Received 21 Sep 2022, Accepted 04 Dec 2022, Published online: 13 Dec 2022

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https://doi.org/10.1080/19475705.2022.2155998
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Chenglei Li, Duk-jin Kim, Soyeon Park, Junwoo Kim & Juyoung Song. (2023) A self-evolving deep learning algorithm for automatic oil spill detection in Sentinel-1 SAR images. Remote Sensing of Environment 299, pages 113872.
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Saeid Dehghani-Dehcheshmeh, Mehdi Akhoondzadeh & Saeid Homayouni. (2023) Oil spills detection from SAR Earth observations based on a hybrid CNN transformer networks. Marine Pollution Bulletin 190, pages 114834.
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Avrodeep Paul, Subhadip Dey, Armando Marino, Gourav Dhar Bhowmick & Avik Bhattacharya. (2023) Clustering of Marine Oil-Spill Extent Using Sentinel-1 Dual-Polarimetric Scattering Spectrum. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, pages 8923-8932.
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