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Entropy algorithm for automatic detection of oil spill from radarsat-2 SAR data

Marghany, Maged Mahmoud and Genderen, J. Van (2014) Entropy algorithm for automatic detection of oil spill from radarsat-2 SAR data. 8th International Symposium of the Digital Earth (ISDE8), 18 (1). ISSN 1755-1315

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Official URL: http://dx.doi.org/10.1088/1755-1315/18/1/012051

Abstract

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.

Item Type:Article
Uncontrolled Keywords:automatic detection, oil spill, synthetic aperture radar (SAR)
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Geoinformation and Real Estate
ID Code:52714
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 11:52
Last Modified:30 Jun 2018 08:10

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