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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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Bibliografiske detaljer
Udgivet i:Sensors (Basel)
Main Authors: Shaban, Mohamed, Salim, Reem, Abu Khalifeh, Hadil, Khelifi, Adel, Shalaby, Ahmed, El-Mashad, Shady, Mahmoud, Ali, Ghazal, Mohammed, El-Baz, Ayman
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2021
Fag:
Online adgang: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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