摘要
对于多极化SAR图像 ,可以利用其同极化和交叉极化图像的相关性来进行降斑处理 .本文对常用的几种基于多极化SAR图像的降斑方法进行了分析 ,重点研究了最优加权法 (theoptimalweightingalgorithm) ,在其基础上改进提出了分块加权法 ,取得了明显的降斑效果 ,并较大地减少了运算量 .
The availability of fully polarimetric SAR data makes it possible to utilize the co-polarized and cross-polarized images for speckle reduction. In this paper, many of the despeckling processing methods is introduced. The part weighting algorithm is proposed. With minimum resolution broadening and coupling between polarimetric and frequency channels, a series of experimental results about image speckle reduction demonstrate the effectiveness and less computational load.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2003年第2期207-210,共4页
Acta Electronica Sinica
基金
国防科技重点实验基金 (No.0 0JS67.1 .1 .HK0 1 0 1 )