摘要
传统的抑制合成孔径雷达(SAR)图像斑点噪声的TDRGMAP方法,对大面积呈强反射的典型战略目标检测效果较差、边缘定位精度较低。文章针对TDRGMAP方法提出了一种改进算法,将恒虚警检测(CFAR)和双参数恒虚警检测(B-CFAR)结合起来检测及保持点目标,并引入了自适应窗口的方法进行边缘和线条检测。用真实机载SAR图像进行实验,证明所提出的新方法取得了较好的改进效果。
The traditional TDRGMAP algorithm for speckle reduction of synthetic aperture radar(SAR) images has a bad detectability and lower localization precision for typical tactic targets with wide area and stronger reflectivity. In this paper, an improved algorithm, which has combined the constant false alarm rate(CFAR) with the biparameter constant false alarm rate(B-CFAR), is proposed. Moreover,the adaptive window is integrated into the new algorithm to detect edges and lines. The processing results of real airborne SAR images show that the proposed method attains better effect.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第5期473-476,共4页
Journal of Hefei University of Technology：Natural Science
关键词
斑点噪声
点目标检测
恒虚警
边缘检测
自适应
speckle
point target detection
constant false alarm rate
edge detection
adaptive filtering
