引入规范化圆极化相关系数的保持极化散射特性的分类算法
Preserving Polarimetric Scattering Characteristics Classification by Introducing Normalized Circular-pol Correlation Coefficient
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摘要: 极化SAR三分量分解中,和SAR视线不垂直的人工建筑物常被分为体散射类型,进而引起建筑物和森林的误分类。针对此不足,利用此类建筑物的反射非对称性,提出了一种引入规范化圆极化相关系数(NC-CC)的保持极化散射特性的分类算法。实验结果表明,本文提出的方法能够将与SAR视线不垂直的人工建筑物从体散射类型中分离出来。Abstract: Buildings being not orthogonal to the light of sight of SAR are often marked as volume scattering in the three-component decomposition.A new unsupervised classification algorithm is proposed by introducing normalized circular-pol correlation coefficient,which can improve the discernment of non-reflection symmetric structure on the basis of three-component decomposition.The experiment using E-SAR L band PolSAR image around DLR proves the effectiveness of the proposed method.
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