A fast ship detection algorithm in SAR imagery for wide area ocean surveillance

Ship detection is a basic problem to be solved in SAR application of ocean surveillance. To deal with the rapid increasing SAR data, fast algorithm has become a hot topic in the research of ship detection. This paper proposes a fast ship detection algorithm in SAR imagery for wide area ocean surveil...

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Bibliographic Details
Published in2012 IEEE Radar Conference pp. 0570 - 0574
Main Authors Xing Xiangwei, Ji Kefeng, Zou Huanxin, Sun Jixiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Accuracy
Adaptation models
Algorithm design and analysis
Clutter
Marine vehicles
Oceans
Surveillance
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ISBN1467306568
9781467306560
ISSN1097-5659
DOI10.1109/RADAR.2012.6212205

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Summary:Ship detection is a basic problem to be solved in SAR application of ocean surveillance. To deal with the rapid increasing SAR data, fast algorithm has become a hot topic in the research of ship detection. This paper proposes a fast ship detection algorithm in SAR imagery for wide area ocean surveillance. The algorithm adopts global two-parameter CFAR and adaptive CFAR based K distribution in the coarse and fine detection phase separately. Performances on detection accuracy and efficiency have been analyzed theoretically. Validation results on several space-born SAR images illustrate the fast method can preserve detection accuracy and improve the calculation efficiency.
ISBN:1467306568
9781467306560
ISSN:1097-5659
DOI:10.1109/RADAR.2012.6212205