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Automatic identification of oil spills on satellite images

Authors
Journal
Environmental Modelling & Software
1364-8152
Publisher
Elsevier
Publication Date
Volume
21
Issue
5
Identifiers
DOI: 10.1016/j.envsoft.2004.11.010
Keywords
  • Oil Spills
  • Sar
  • Remote Sensing
  • Sea Surface
  • Marine Pollution
  • Fuzzy Logic
Disciplines
  • Computer Science

Abstract

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 C++ 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.

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