摘要
研究基于独立分量分析(ICA)的极化合成孔径雷达(SAR)图像相干斑抑制方法。该方法将极化SAR图像斑点噪声的乘积模型,变换为应用ICA的信号独立加噪模型。并且将HV/VV的比值图像,也作为ICA的输入数据。利用ICA的分离性,得到了分别对应于HH、HV和VV极化的三幅降噪图像。经本文方法处理后的图像,其相干斑噪声得到了有效的抑制,具有较高的等效视数,明显地改善了图像的质量。
Polarimetrie Synthetic Aperture Radar （SAR） images are usually corrupted by strong speckle noise, which blocks scene information abstracting and the application of polarimetric SAR images. Based on statistical formulation of polarimetric SAR image, a new approach for speckle reduction was presented using Independent Component Analysis （ICA）. The experimental results show that excellent performance can be achieved： the image speckle noise is reduced effectively and the ENL is high, and the image quality is improved obviously,
出处
《计算机应用》
CSCD
北大核心
2006年第10期2354-2356,2359,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60375003)
航空基础科学基金资助项目(03I53059)
