A Parzen-Window-Kernel-Based CFAR Algorithm for Ship Detection in SAR Images

被引：101
|
作者：
Gao, Gui [1 ]
机构：
[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2011年 / 8卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Parzen window; ship detection; synthetic aperture radar (SAR);
D O I：
10.1109/LGRS.2010.2090492
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
This letter proposes a Parzen-window-kernel-based algorithm for ship detection in synthetic aperture radar (SAR) images. First, the data-driving kernel functions of Parzen window are utilized to approximate the histogram of real SAR image, in order to complete the accurate modeling of SAR images. Then, a threshold of global constant false alarm rate is given theoretically, and the numerical solution of the threshold is also derived. The experimental results of the real data of typical targets demonstrate that the algorithm presented is effective.
引用
收藏
页码：557 / 561
页数：5
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