Ocean oil spill detection from SAR images based on multi-channel deep learning semantic segmentation

This publication has 30 references indexed in Scilit:

• Deep learning
  Nature, 2015
• ImageNet Large Scale Visual Recognition Challenge
  International Journal of Computer Vision, 2015
• A global wave parameter database for geophysical applications. Part 2: Model validation with improved source term parameterization
  Ocean Modelling, 2013
• State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill
  Remote Sensing of Environment, 2012
• Detection and object-based classification of offshore oil slicks using ENVISAT-ASAR images
  Environmental Monitoring and Assessment, 2011
• Wind and wave observations off the south Pacific Coast of Mexico using TerraSAR-X imagery
  International Journal of Remote Sensing, 2010
• A global wave parameter database for geophysical applications. Part 1: Wave-current–turbulence interaction parameters for the open ocean based on traditional parameterizations
  Ocean Modelling, 2008
• Multi-Label Classification
  International Journal of Data Warehousing and Mining, 2007
• Oil spill detection by satellite remote sensing
  Remote Sensing of Environment, 2005
• Characteristics of 13.9 GHz radar scattering from oil films on the sea surface
  Radio Science, 1982