A Deep-Learning Framework for the Detection of Oil Spills from SAR Data

Oil leaks onto water surfaces from big tankers, ships, and pipeline cracks cause considerable damage and harm to the marine environment. Synthetic Aperture Radar (SAR) images provide an approximate representation for target scenes, including sea and land surfaces, ships, oil spills, and look-alikes....

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Detalles Bibliográficos
Autores principales: Shaban, Mohamed, Salim, Reem, Abu Khalifeh, Hadil, Khelifi, Adel, Shalaby, Ahmed, El-Mashad, Shady, Mahmoud, Ali, Ghazal, Mohammed, El-Baz, Ayman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036558/
https://www.ncbi.nlm.nih.gov/pubmed/33800565
http://dx.doi.org/10.3390/s21072351

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036558/
https://www.ncbi.nlm.nih.gov/pubmed/33800565
http://dx.doi.org/10.3390/s21072351

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