Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data

This work aimed to design optimization procedures for oil spill footprint automatic detection from synthetic aperture radar (SAR) satellite data. The main motivation of this work is to utilize a genetic algorithm (GA) without involving post-classification image processing tools for oil spill footpri...

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Main Author: Marghany, Maged
Format: Article
Published: Springer Verlag 2015
Subjects:
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author Marghany, Maged
author_facet Marghany, Maged
author_sort Marghany, Maged
collection ePrints
description This work aimed to design optimization procedures for oil spill footprint automatic detection from synthetic aperture radar (SAR) satellite data. The main motivation of this work is to utilize a genetic algorithm (GA) without involving post-classification image processing tools for oil spill footprint boundary shape optimizations that involve local and global optimizations. The procedures are operated using sequences of RADARSAT-2 SAR ScanSAR Narrow single beam data acquired in the Gulf of Mexico. The study shows that the GA has high performance for oil spill boundary shape automatic optimization and detection. This provides evidence with standard error of 0.12 and non-significant differences with different acquisition dates. The ScanSAR Narrow mode data shows the extremely existing of 90 % of the oil spill footprint compared to the sea surface roughness and look-alikes. It can be said that Scan SAR Narrow mode can monitor oil spill disasters. In conclusion, the GA can be used as an automatic tool for oil spill without involving other post-image processing classification.
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spelling utm.eprints-579312022-04-11T00:29:05Z http://eprints.utm.my/57931/ Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data Marghany, Maged G Geography (General) This work aimed to design optimization procedures for oil spill footprint automatic detection from synthetic aperture radar (SAR) satellite data. The main motivation of this work is to utilize a genetic algorithm (GA) without involving post-classification image processing tools for oil spill footprint boundary shape optimizations that involve local and global optimizations. The procedures are operated using sequences of RADARSAT-2 SAR ScanSAR Narrow single beam data acquired in the Gulf of Mexico. The study shows that the GA has high performance for oil spill boundary shape automatic optimization and detection. This provides evidence with standard error of 0.12 and non-significant differences with different acquisition dates. The ScanSAR Narrow mode data shows the extremely existing of 90 % of the oil spill footprint compared to the sea surface roughness and look-alikes. It can be said that Scan SAR Narrow mode can monitor oil spill disasters. In conclusion, the GA can be used as an automatic tool for oil spill without involving other post-image processing classification. Springer Verlag 2015 Article PeerReviewed Marghany, Maged (2015) Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data. Environmental Earth Sciences, 74 (7). pp. 5935-5947. ISSN 1866-6280 http://dx.doi.org/10.1007/s12665-015-4617-y DOI: 10.1007/s12665-015-4617-y
spellingShingle G Geography (General)
Marghany, Maged
Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data
title Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data
title_full Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data
title_fullStr Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data
title_full_unstemmed Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data
title_short Automatic detection of oil spills in the Gulf of Mexico from RADARSAT-2 SAR satellite data
title_sort automatic detection of oil spills in the gulf of mexico from radarsat 2 sar satellite data
topic G Geography (General)
work_keys_str_mv AT marghanymaged automaticdetectionofoilspillsinthegulfofmexicofromradarsat2sarsatellitedata