摘要
基于SAR(合成孔径雷达 )图像杂波结构 ,结合小波变换和自适应维纳滤波提出了一种新的抑制SAR图像相干斑噪声方法 ,该方法能够较好保留杂波边缘和点目标 .分析了抑制SAR图像相干斑噪声后的多分布特性 ,研究了相应的SAR目标检测 ,提出了一种新的SAR图像目标检测方法及其实现 .
A new method of reducing speckle noise for SAR(synthetic aperture radar) image is proposed,which combines wavelet transform and adaptive Wiener filter based SAR image scene heterogeneity.It can better preserve clutter edge and point target.The several probability density functions of SAR are analyzed after speckle is de noised and target detection is studied .A new target detection method and its realizing are proposed.The validity of the method is proved by experiments for real SAR image.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2001年第3期323-325,共3页
Acta Electronica Sinica