Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2009-11-03
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 1, pp. 066-069, October 2009, USA
Computer Science
Computer Vision and Pattern Recognition
4 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact F
Scientific paper
A new fangled method for ship wake detection in synthetic aperture radar (SAR) images is explored here. Most of the detection procedure applies the Radon transform as its properties outfit more than any other transformation for the detection purpose. But still it holds problems when the transform is applied to an image with a high level of noise. Here this paper articulates the combination between the radon transformation and the shrinkage methods which increase the mode of wake detection process. The latter shrinkage method with RT maximize the signal to noise ratio hence it leads to most optimal detection of lines in the SAR images. The originality mainly works on the denoising segment of the proposed algorithm. Experimental work outs are carried over both in simulated and real SAR images. The detection process is more adequate with the proposed method and improves better than the conventional methods.
Krishnaveni M.
Subashini P.
Thakur Suresh Kumar
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