The Community for Technology Leaders
RSS Icon
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 773-777
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.
Liu Na-na, Li Jing-wen, Cui Yan-feng, "Cluster-Based Split-Window Radon Transform Algorithm for Ship Wake Detection", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 773-777, doi:10.1109/CSIE.2009.521
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool