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Machine Learning

, Volume 30, Issue 2–3, pp 195–215 | Cite as

Machine Learning for the Detection of Oil Spills in Satellite Radar Images

  • Miroslav Kubat
  • Robert C. Holte
  • Stan Matwin
Article

Abstract

During a project examining the use of machine learning techniques for oil spill detection, we encountered several essential questions that we believe deserve the attention of the research community. We use our particular case study to illustrate such issues as problem formulation, selection of evaluation measures, and data preparation. We relate these issues to properties of the oil spill application, such as its imbalanced class distribution, that are shown to be common to many applications. Our solutions to these issues are implemented in the Canadian Environmental Hazards Detection System (CEHDS), which is about to undergo field testing.

Inductive learning classification radar images methodology 

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Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • Miroslav Kubat
    • 1
    • 1
  • Robert C. Holte
    • 1
    • 1
  • Stan Matwin
    • 1
    • 1
  1. 1.School of Information Technology and EngineeringUniversity of OttawaOttawaCanada

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