Title of article :
Automatic identification of oil spills
on satellite images
Author/Authors :
Iphigenia Keramitsogloua، نويسنده , , *، نويسنده , , Constantinos Cartalisa، نويسنده , , Chris T. Kiranoudisb، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2006
Abstract :
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 information 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.
Keywords :
sea surface , Fuzzy logic , marine pollution , Oil spills , SAR , Remote sensing
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software