摘要
极化SAR图像为雷达图像中的信息处理和获取提供了更为便捷的途径。本文在研究极化SAR成像特点的基础上,介绍了用一种新的独立分量分析(ICA)方法—Infomax算法来进行相干斑抑制,完成了从极化SAR图像中分离相干斑噪声的仿真试验。实验表明,Infomax算法收敛速度较慢,但稳健性好。经 ICA处理后的图像其相干斑噪声得到了有效的抑制,具有较低的相干斑指数,明显地改善了图像的质量。
The polarimetric SAR image provides a very convenient approach for signal processing and acquisition of radar image. Based on the characteristic of polarimetric SAR image, a new Independent Component Analysis(ICA) algorithm is proposed for speckle reduction, which is Infomax algorithm.Then the simulation of separation of speckle from polarimetric SAR image is accomplished.The experiment shows that the Infomax algorithm has lower convergence and higher reliability.The image processed by the ICA algorithm generally has lower contrast ratio which implies a reduced speckle effect.And the image quality has been improved greatly.
出处
《雷达科学与技术》
2005年第1期31-35,共5页
Radar Science and Technology
基金
高校博士点专项科研基金资助项目(No.20030614001)
关键词
独立分量分析
主分量分析
峭度
极化SAR
相干斑
高阶统计量
independent component analysis
principal component analysis
kurtosis
polarimetric SAR
speckle
higher-order statistics
