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PolSAR Image Speckle Reduction Algorithm Based On TV-PDE

机译：基于TV-PDE的PolSAR图像去斑算法

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摘要

Good polarization SAR speckle reduction effect is very helpful to follow-up treatment for such as Polarization SAR image classification and interpretation. Based on analysis of the existing polarization SAR image filtering algorithm, an algorithm of PolSAR speckle reduction was proposed to maintain the relative phase information with SAR image speckle reduction of the total variation of partial differential equations (TV-PDE). First, three polarization combinations which could be represented by three color channels were got from Polarization SAR data with Pauli decomposition. Then, the color channels were operated with TV-PDE speckle reduction algorithm. The experiment results showed that the algorithm is effective and of good performance in the filtering and edge preservation. Comparison was made with other speckle filtering algorithms taking speckle index as the evaluation criteria.
机译：良好的极化SAR斑点减少效果非常有助于极化SAR图像分类和解释等后续治疗。在分析现有极化SAR图像滤波算法的基础上，提出了一种PorSAR斑点减少算法，用于保持偏微分方程（TV-PDE）总变化量的SAR图像斑点减少的相对相位信息。首先，利用保利分解，从极化SAR数据中得到了三个可以由三个颜色通道表示的极化组合。然后，使用TV-PDE斑点减少算法对色彩通道进行操作。实验结果表明，该算法在滤波和边缘保留方面是有效的，并且具有良好的性能。与其他以斑点指数为评估标准的斑点过滤算法进行了比较。

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