Title :
High resolution SAR imagery ship detection based on EXS-C-CFAR in Alpha-stable clutters
Author :
Xing, Xiangwei ; Ji, Kefeng ; Zou, Huanxin ; Sun, Jixiang ; Zhou, Shilin
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
High resolution SAR imagery captures both the sea background and ship target more explicitly. This paper proposed an algorithm based on EXS-C-CFAR (excision-switching context based CFAR) and Alpha-stable distribution to detect ships in high resolution SAR imagery. From experiment results, it is derived that the Alpha-stable distribution models spiky sea clutter well and the EXS-C-CFAR has good ship detection performance on JPL/NASA AIRSAR data. Moreover, context information utilized in the detector preserves more ship structures.
Keywords :
marine radar; radar imaging; ships; synthetic aperture radar; EXS C CFAR; JPL/NASA AIRSAR data; alpha stable clutters; context information; excision switching context; high resolution SAR imagery; ship detection; Clutter; Context; Detectors; Image resolution; Marine vehicles; Synthetic aperture radar; Alpha-stable distribution; Synthetic aperture radar (SAR); const false alarm rate (CFAR); high resolution; ship detection;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6048956
