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

fYear

2011

fDate

24-29 July 2011

Firstpage

316

Lastpage

319

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6048956

Filename

6048956