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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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Dades bibliogràfiques
Publicat a:Sensors (Basel)
Autors principals: Shaban, Mohamed, Salim, Reem, Abu Khalifeh, Hadil, Khelifi, Adel, Shalaby, Ahmed, El-Mashad, Shady, Mahmoud, Ali, Ghazal, Mohammed, El-Baz, Ayman
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8036558/
https://ncbi.nlm.nih.gov/pubmed/33800565
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072351
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