Fractal Dimension Algorithm for Detecting Oil Spills Using RADARSAT-1 SAR

  • Maged Marghany
  • Mazlan Hashim
  • Arthur P. Cracknell
Conference paper

DOI: 10.1007/978-3-540-74472-6_87

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4705)
Cite this paper as:
Marghany M., Hashim M., Cracknell A.P. (2007) Fractal Dimension Algorithm for Detecting Oil Spills Using RADARSAT-1 SAR. In: Gervasi O., Gavrilova M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg

Abstract

This paper introduces a method for modification of the formula of the fractal box counting dimension. The method is based on the utilization of theprobability distribution formula in the fractal box count. The purpose of this method is to use it for the discrimination of oil spill areas from the surrounding features e.g., sea surface and look-alikes in RADARSAT-1 SAR data. The result shows that the new formula of the fractal box counting dimension is able to discriminate between oil spills and look-alike areas. The low wind area has the highest fractal dimension peak of 2.9, as compared to the oil slick and the surrounding rough sea. The maximum error standard deviation of low wind area is 0.68 which performs with fractal dimension value of 2.9.

Keywords

Fractal algorithm Probability Density Function (PDF) RADARSAT-1 SAR image oil spill look-alikes 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maged Marghany
    • 1
  • Mazlan Hashim
    • 1
  • Arthur P. Cracknell
    • 1
  1. 1.Department of Remote Sensing, Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johore BahruMalaysia

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