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Computational Science and Its Applications – ICCSA 2007

Volume 4705 of the series Lecture Notes in Computer Science pp 1054-1062

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

  • Maged MarghanyAffiliated withDepartment of Remote Sensing, Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johore Bahru
  • , Mazlan HashimAffiliated withDepartment of Remote Sensing, Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johore Bahru
  • , Arthur P. CracknellAffiliated withDepartment of Remote Sensing, Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johore Bahru

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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