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Feature Extraction for Oil Spill Detection Based on SAR Images

  • Camilla Brekke
  • Anne H. S. Solberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

Algorithms based on SAR images for the purpose of detecting illegal oil spill pollution in the marine environment are studied. This paper focus on the feature extraction step, aiming at identifying features that lead to significant improvements in classification performance compared to earlier reported results. Both traditional region descriptors, features tailored to oil spill detection and techniques originally associated with other applications are evaluated. Experimental results show an increase from 89% to 97% in the number of suspected oil spills detected.

Keywords

Feature Extraction Synthetic Aperture Radar Synthetic Aperture Radar Image Sobel Operator Edge Segment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Camilla Brekke
    • 1
    • 2
  • Anne H. S. Solberg
    • 2
  1. 1.Norwegian Defence Research EstablishmentKjellerNorway
  2. 2.Department of InformaticsUniversity of OsloOsloNorway

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