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	SEA CLUTTER MODELING BY STATISTICAL MAJORITY CONSISTENCY FOR SHIP DETECTION IN SAR IMAGERY
	Zhao, Di1; Lang, Haitao1; Zhang, Xi2; Meng, Junmin2; Laiquan3; IEEE
	2015
关键词	Ship detection sea clutter modeling probability density function (pdf) estimation synthetic aperture radar (SAR) imagery
页码	3695-3698
英文摘要	Probability density function (pdf) estimation of sea clutter in synthetic aperture radar (SAR) imagery has a fundamental role in constructing a constant false alarm rate (CFAR) based ship detector. This paper proposes a semi-parametric sea clutter modeling method for SAR amplitude imagery. The pdf of sea clutter is estimated point by point for each amplitude value, by selecting an optimal component from a given dictionary. For a specific point, the optimal component is selected by measuring the statistical consistency between pdfs of different components and the pdf of sample data within a local window in pdf domain. The statistical consistency is measured by Kullback-Leibler distance (KL-distance). The size of local window is determined based on smoothness criterion. Experimental results on several real SAR imageries demonstrate that the proposed method accurately models the sea clutter, and is flexible to combine with CFAR to construct a ship detector.
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Engineering ; Geology ; Remote Sensing
WOS记录号	WOS:000371696703199
内容类型	会议论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/5091]
专题	业务部门_海洋物理与遥感研究室
作者单位	1.Beijing Univ Chem Technol, Dept Appl Phys, Beijing 100029, Peoples R China; 2.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China; 3.Inner Mongolia Normal Univ, Inner Mongolia Key Lab Remote Sensing & Geog Info, Hohhot 010022, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Di,Lang, Haitao,Zhang, Xi,et al. SEA CLUTTER MODELING BY STATISTICAL MAJORITY CONSISTENCY FOR SHIP DETECTION IN SAR IMAGERY[C]. 见:.

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