This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Cluster-Based Split-Window Radon Transform Algorithm for Ship Wake Detection
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Citation:
Liu Na-na, Li Jing-wen, Cui Yan-feng, "Cluster-Based Split-Window Radon Transform Algorithm for Ship Wake Detection," csie, vol. 5, pp.773-777, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.