Oil Spill Identification from Satellite Images Using Deep Neural Networks

@article{Krestenitis2019OilSI,
  title={Oil Spill Identification from Satellite Images Using Deep Neural Networks},
  author={Marios Krestenitis and Georgios A. Orfanidis and Konstantinos Ioannidis and Konstantinos Avgerinakis and Stefanos Vrochidis and Yiannis Kompatsiaris},
  journal={Remote. Sens.},
  year={2019},
  volume={11},
  pages={1762}
}
Oil spill is considered one of the main threats to marine and coastal environments. Efficient monitoring and early identification of oil slicks are vital for the corresponding authorities to react expediently, confine the environmental pollution and avoid further damage. Synthetic aperture radar (SAR) sensors are commonly used for this objective due to their capability for operating efficiently regardless of the weather and illumination conditions. Black spots probably related to oil spills can… 
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