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

fYear

2011

fDate

June 29 2011-July 1 2011

Firstpage

386

Lastpage

388

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSDM.2011.5969070

Filename

5969070