Title :
Automatic ship detection from SAR images
Author :
Liu, Yingjian ; Ma, Hui ; Yang, Yanming ; Liu, Yanyan
Author_Institution :
Dept. of Comput. Sci. & Technol., Ocean Univ. of China, Qingdao, China
fDate :
June 29 2011-July 1 2011
Abstract :
Ship detection involves two correlated tasks - ship target detection and ship wake detection. This paper proposes a method for automatic ship wake detection from SAR image. A localized Radon transform is processed around the ship target to detect linear features after ship target detection. It can smooth the speckle noise and improve the SNR in Radon transform space. So the false alarms can be reduced. If the extracted linear feature is proved to be a ship wake after testing, the wake line can be reconstructed in the original SAR image and the ship orientation can be estimated without ambiguity.
Keywords :
Radon transforms; feature extraction; image reconstruction; object detection; radar imaging; ships; synthetic aperture radar; SAR image; SNR; automatic ship wake detection; false alarms reduction; image reconstruction; linear feature detection; linear feature extraction; localized Radon transform; ship target detection; speckle noise; Feature extraction; Image reconstruction; Marine vehicles; Noise; Pixel; Synthetic aperture radar; Transforms; Ship detection; localized Radon transform; ship target; ship wake reconstruction; ship wake test;
Conference_Titel :
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4244-8352-5
DOI :
10.1109/ICSDM.2011.5969070
