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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....

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Sensors (Basel)
Hauptverfasser: Shaban, Mohamed, Salim, Reem, Abu Khalifeh, Hadil, Khelifi, Adel, Shalaby, Ahmed, El-Mashad, Shady, Mahmoud, Ali, Ghazal, Mohammed, El-Baz, Ayman
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2021
Schlagworte:
Online Zugang: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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