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数学形态学在SAR图像目标识别中的应用
引用本文:王运锋,王建国,赵志钦,黄顺吉.数学形态学在SAR图像目标识别中的应用[J].系统工程与电子技术,2001,23(3):23-27.
作者姓名:王运锋  王建国  赵志钦  黄顺吉
作者单位:电子科技大学电子工程系,
摘    要:提出了一种能够从复杂背景的SAR图像中识别出圆状目标的方法。该方法首先对SAR图像进行双参数恒虚警(B-CFAR)预处理,排除明显的非目标区,增强下一步对目标的识别效果,然后着重分析了上下文相关加权的形态模板生成算法,在此基础上采用不同的数学形态学变换滤波方法对预处理后的SAR图像候选目标区进行识别,并与相关文献比较,对圆状目标得到了良好的识别效果。

关 键 词:合成孔径雷达  虚警概率  相关技术  加权函数  目标识别
文章编号:1001-506X(2001)03-0023-04
修稿时间:2000年1月17日

The Application of Mathematical Morphology in Target Identification on SAR Image
Wang Yunfeng,Wang Jianguo,Zhao Zhiqin,Huang Shunji.The Application of Mathematical Morphology in Target Identification on SAR Image[J].System Engineering and Electronics,2001,23(3):23-27.
Authors:Wang Yunfeng  Wang Jianguo  Zhao Zhiqin  Huang Shunji
Institution:Wang Yunfeng Wang Jianguo Zhao Zhiqin Huang Shunji Department of Electronic Engineering of UESTC,Chengdu 610054
Abstract:In this paper, a method which can identify round targets from the complicated background of radar image is presented. First, this method performs pre-processing on the radar image using biparameter constant false alert rate (B-CFAR) which can wipe off the distinct non-target area and enhance the identified effect of the next step. Second, a context correlation method which can produces morphological template is analyzed. Last, we use different mathematical morphology to identify round target in the region of the pre-processing image. When using the method on the process of synthetic aperture radar (SAR) image, we obtain excellent effect in comparing with the correlative reference.
Keywords:Synthetic aperture radar    False alarm probability    Correlation technique    Weighting function  Target recognition
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