Title :
Detection of the ship wakes from SAR image based on localized Radon Transform
Author :
Lei, Niu ; Tao, Wu ; Xi, Chen
Author_Institution :
No.38 Res. Inst., China Electron. Technol. Corp., Hefei, China
Abstract :
This paper presents a method based on the localized Radon Transform for detecting ship wakes in SAR (Synthetic Aperture Radar) images. The method is applied to real SAR images, and the result shows that the detection accuracy is satisfactory in strong noise environment. The algorithm is also robust in detecting and localizing linear features that are much shorter than the image size.
Keywords :
radar imaging; ships; synthetic aperture radar; wakes; SAR image; linear features localization; localized radon transform; ship wakes detection; strong noise environment; synthetic aperture radar; Displays; Image segmentation; Marine vehicles; Noise robustness; Oceans; Radar detection; Spaceborne radar; Speckle; Synthetic aperture radar; Working environment noise; Localized Radon Transform; Synthetic Aperture Radar (SAR); ship wake detection;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374168
