摘要
针对以往SAR图像相干斑抑制算法中存在的难以兼顾均匀区域平滑和边缘细节保护的不足,提出一种自适应边缘保护的SAR图像降斑算法。采用方差系数、均值比值和空间相关性等信息作为滤波器权重分配因子。实验结果表明,综合运用以上3种图像的局部邻域信息,该算法在均匀区域平滑和边缘保护两方面都有较好的效果。
To solve the shortage of the existing despeckling algorithms which can not suppress the noise and preserve the edge at the same time, an adaptive edge-preserving algorithm for Synthetic Aperture Radar（SAR） image despeckling is proposed. Relative deviation, ratio of averges and spatial correlation of pixels are applied to distribute the weight for the filter. Due to the use of the.three kinds of local information synthetically, experimental results show that better performances are achieved both in area smoothing and edge preserving.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第1期229-230,250,共3页
Computer Engineering
基金
河南省基础与前沿技术研究计划基金资助项目(072300450240)
关键词
SAR图像
相干斑抑制
边缘保护
Synthetic Aperture Radar（SAR） image
speckle reduction
edge preserving
