Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR

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 sur...

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Main Authors: Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.
Format: Book Section
Published: Springer Berlin / Heidelberg 2007
Subjects:
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author Marghany, Maged
Hashim, Mazlan
Cracknell, Arthur P.
author_facet Marghany, Maged
Hashim, Mazlan
Cracknell, Arthur P.
author_sort Marghany, Maged
collection ePrints
description 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.
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institution Universiti Teknologi Malaysia - ePrints
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spelling utm.eprints-76082017-07-25T06:50:33Z http://eprints.utm.my/7608/ Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR Marghany, Maged Hashim, Mazlan Cracknell, Arthur P. QA75 Electronic computers. Computer science 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. Springer Berlin / Heidelberg 2007-08-29 Book Section PeerReviewed Marghany, Maged and Hashim, Mazlan and Cracknell, Arthur P. (2007) Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR. In: Computational Science and Its Applications – ICCSA 2007. Lecture Notes in Computer Science, 4705/2 (Part 1). Springer Berlin / Heidelberg, Kuala Lumpur, Malaysia, pp. 1054-1062. ISBN 978-3-540-74468-9 https://link.springer.com/chapter/10.1007/978-3-540-74472-6_87 10.1007/978-3-540-74472-6_87
spellingShingle QA75 Electronic computers. Computer science
Marghany, Maged
Hashim, Mazlan
Cracknell, Arthur P.
Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
title Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
title_full Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
title_fullStr Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
title_full_unstemmed Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
title_short Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
title_sort fractal dimension algorithm for detecting oil spills using radarsat 1 sar
topic QA75 Electronic computers. Computer science
work_keys_str_mv AT marghanymaged fractaldimensionalgorithmfordetectingoilspillsusingradarsat1sar
AT hashimmazlan fractaldimensionalgorithmfordetectingoilspillsusingradarsat1sar
AT cracknellarthurp fractaldimensionalgorithmfordetectingoilspillsusingradarsat1sar