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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Springer Berlin / Heidelberg
2007
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| Online Access: | http://eprints.utm.my/7608/ https://link.springer.com/chapter/10.1007/978-3-540-74472-6_87 |
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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 |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Book Section |
| id | my.utm.eprints-7608 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2007 |
| publisher | Springer Berlin / Heidelberg |
| record_format | eprints |
| spelling | my.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 |
| url | http://eprints.utm.my/7608/ https://link.springer.com/chapter/10.1007/978-3-540-74472-6_87 |
| url_provider | http://eprints.utm.my/ |