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Article ; Online: An Optimal Method For Wake Detection In SAR Images Using Radon Transformation Combined With Wavelet Filters

Ms. M. Krishnaveni / Mr. Suresh Kumar Thakur / Dr. P. Subashini

International Journal of Computer Science and Information Security, Vol 6, Iss 1, Pp 66-

2009  Volume 69

Abstract: 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 ...

Abstract 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.
Keywords SAR images ; threshold ; radon transformation ; Signal to noise ratio ; denoising ; IJCSIS ; Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Computer Science ; DOAJ:Technology and Engineering
Subject code 006
Language English
Publishing date 2009-10-01T00:00:00Z
Publisher LJS Publisher and IJCSIS Press
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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