Automatic identification of oil spills on satellite images

Iphigenia Keramitsoglou, Constantinos Cartalis, Chris T. Kiranoudis
2006 Environmental Modelling & Software  
A fully automated system for the identification of possible oil spills present on Synthetic Aperture Radar (SAR) satellite images based on artificial intelligence fuzzy logic has been developed. Oil spills are recognized by experts as dark patterns of characteristic shape, in particular context. The system analyzes the satellite images and assigns the probability of a dark image shape to be an oil spill. The output consists of several images and tables providing the user with all relevant
more » ... ation for decision-making. The case study area was the Aegean Sea in Greece. The system responded very satisfactorily for all 35 images processed. The complete algorithmic procedure was coded in MS Visual CCC 6.0 in a stand-alone dynamic link library (dll) to be linked with any sort of application under any variant of MS Windows operating system.
doi:10.1016/j.envsoft.2004.11.010 fatcat:vz3ockuk2fctxoza2uakxvihle