SAR image detection of sea targets based on two-step CFAR detector of KK distribution

被引：3

作者：

Song Jie ^{[1
]}

Cai Fu-qing ^{[1
]}

Liu Heng-yan ^{[1
]}

Xiong Wei ^{[1
]}

机构：

[1] Naval Aviat Univ, Res Inst Informat Fus, Yantai, Peoples R China

来源：

JOURNAL OF ENGINEERING-JOE | 2019年 / 2019卷 / 19期

基金：

美国国家科学基金会;

关键词：

missiles; object detection; radar clutter; synthetic aperture radar; Gaussian distribution; target tracking; Weibull distribution; radar detection; radar imaging; spaceborne radar; statistical distributions; SAR image detection; sea targets; two-step CFAR detector; KK distribution; simple statistical distribution models; normal distribution; missile-borne SAR images; sea surface; sea spike; two-stage CFAR detector; SHIP DETECTION; CLUTTER;

D O I：

10.1049/joe.2019.0360

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In the detection of SAR image of sea targets, the simple statistical distribution models such as Gaussian distribution, normal distribution, Weibull distribution etc. are obviously not suitable for the fitting of the background clutter of missile-borne SAR images. The target of the sea surface in SAR image usually has a heavy tail caused by the sea spike, while the KK distribution can better fit it. A two-stage CFAR detector with KK distribution is designed. The results show that KK distribution can fit the data well and the two-stage CFAR detector based on the KK distribution has good performances.

引用

页码：5644 / 5647

页数：4

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