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Comparison between lee and kuan algorithm for oil spill detection from sar images

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dc.contributor.author Amirah Mustafa
dc.date.accessioned 2017-07-19T03:29:45Z
dc.date.available 2017-07-19T03:29:45Z
dc.date.issued 2005
dc.identifier.uri http://hdl.handle.net/123456789/6454
dc.description.abstract An important and serious cause of marine pollution at sea surface is oil spill pollution. Oil spill usually occur at main ship traffic routes, near to platforms or in mouth of rivers or estuaries. The application of RADARSAT satellites are being used to routinely monitor ocean oil pollution. Their main advantages are independence of the sun light. That mean its can be used at day and night. However, they will present speckle and noise. To reduce these speckle and noise, adaptive filter was used. This study mainly concerned on comparison between Lee and Kuan Algorithm for oil spill detection from SAR images. Lee algorithm was used to determine the linearity of oil movements, while Kuan algorithm was used to enhance ships. en_US
dc.language.iso en en_US
dc.publisher Terengganu: Kolej Universiti Sains dan Teknologi Malaysia en_US
dc.subject Amirah Mustafa en_US
dc.subject LP 3 FST 3 2005 en_US
dc.title Comparison between lee and kuan algorithm for oil spill detection from sar images en_US
dc.type Working Paper en_US


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