Entropy algorithm for automatic detection of oil spill from radarsat-2 SAR data
Synthetic aperture radar (SAR) is a precious foundation of oil spill detection, surveying and monitoring that improves oil spill detection by various approaches. The main objective of this work is to design automatic detection procedures for oil spill in synthetic aperture radar (SAR) satellite data...
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| Main Authors: | , |
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| 格式: | Article |
| 语言: | English |
| 出版: |
IOP Publishing Ltd
2014
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| 在线阅读: | http://eprints.utm.my/id/eprint/52714/1/MagedMahmoudMarghany2014_Entropyalgorithmforautomatic.pdf http://eprints.utm.my/id/eprint/52714/ http://dx.doi.org/10.1088/1755-1315/18/1/012051 |
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| 总结: | Synthetic aperture radar (SAR) is a precious foundation of oil spill detection, surveying and monitoring that improves oil spill detection by various approaches. The main objective of this work is to design automatic detection procedures for oil spill in synthetic aperture radar (SAR) satellite data. In doing so the Entropy algorithm tool was designed to investigate the occurrence of oil spill in Gulf of Mexico using RADARSAT-2 SAR satellite data. The study shows that entropy algorithm provides accurate pattern of oil slick in SAR data. This shown by 90% for oil spill, 3% look-alike and 7% for sea roughness using the receiver -operational characteristics (ROC) curve. It can therefore be concluded Entropy algorithm can be used as automatic tool for oil spill detection in RADARSAT-2 SAR data. |
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