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Cluster-Based Split-Window Radon Transform Algorithm for Ship Wake Detection

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3 Author(s)
Liu Na-na ; Sch. of Electron. & Inf. Eng., BeiHang Univ., Beijing, China ; Li Jing-wen ; Cui Yan-feng

The purpose of this article is to present a novel algorithm for ship wake detection in synthetic aperture radar (SAR) images. The main originality of our work is that splitting the image with small window before conventional Radon transform to make the illumination has stronger consistency in each window and adopting clustering algorithm to select real wakes form disturbing lines. Experimental result on real SAR image is presented and compared to that obtained using conventional approaches.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:5 )

Date of Conference:

March 31 2009-April 2 2009