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Remote Sensing Technology and Application  2008, Vol. 23 Issue (6): 629-632    DOI: 10.11873/j.issn.1004-0323.2008.6.629
    
Sea Surface Oil Spill Detection Based on CFAR
ZOU Ya-rong1,2,WANG Hua1,ZOU Bin1
(1.National Satellite Ocean Application Service,Beijing 100081,China;2.State Key Laboratory of Satellite Ocean Environment Dynamics,Hangzhou 330012,China)
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Abstract  

 A novel method is presented for oil spill detection in synthetic aperture radar (SAR) images,which is based on the constant false alarm rate (CFAR) technique and considers the probability density function of sea clutter as Gaussian distribution.All possible oil spills are detected using an overall threshold,which is calculated using the analytic formula.Then a statistic filter is used to eliminate the false oil spill pixels.This method avoids complicated iteration,calculation of shape parameters and dichotomy threshold,and therefore its accuracy and computation speed are improved,which are demonstrated by the results.In the paper,the main  techniques for oil spill detection in SAR images are reviewed.A novel method is presented,which is based on CFAR technique and Gaussian distribution of sea surface clutter.In this method,CFAR operator is given based on Gaussian distribution (normal distribution),and the statistic filter is introduced to eliminate the false oil spill pixels,finally the framework of the method is described.The ASAR images are used for the algorithm test.Parameters such as detection threshold,computation time,etc.Results and comparison show that the new method proposed  in this paper has advantages of high accuracy and computation speed.

Key words:  CFAR      SAR      Oil spill     
Received:  22 April 2008      Published:  07 November 2011
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Cite this article: 

ZOU Ya-rong,WANG Hua,ZOU Bin. Sea Surface Oil Spill Detection Based on CFAR. Remote Sensing Technology and Application, 2008, 23(6): 629-632.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2008.6.629     OR     http://www.rsta.ac.cn/EN/Y2008/V23/I6/629

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