基于ICA的极化SAR图像相干斑抑制
Speckle Reduction in Polarimetric SAR Images Based on Independent Component Analysis
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摘要: 根据极化SAR图像的特点,针对传统空域滤波方法总存在降低相干斑与有效保持边缘纹理信息这一对矛盾,探讨了基于独立分量分析的极化SAR图像相干斑抑制技术,研究了两种基于ICA的极化SAR图像相干斑抑制方法,并分析了其优缺点及应用条件。实验结果表明:基于独立分量分析的方法能有效降低相干斑噪声,较好地保留边缘纹理信息,是一种有效的相干斑抑制方法。Abstract: After analyzing the characteristics of polarimetric SAR images, the paper studies two methods of speckle reduction in polarimetric SAR images based on independent component analysis, then analyses advantages and applications of each algorithm. The experiment results show that the image edges are retained and the speckle are removed effectively with the methods of independent component analysis.