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
Pages
13
From page
640
To page
652
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
Serial Year
2006
Journal title
Environmental Modelling and Software
Record number
958544
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