旋光法
特征向量
遥感
矩阵分解
雷达
穆勒微积分
基质(化学分析)
分解
矩阵的特征分解
协方差矩阵
雷达成像
计算机科学
地形
合成孔径雷达
算法
地质学
光学
人工智能
物理
电信
地理
散射
生物
复合材料
量子力学
地图学
材料科学
生态学
作者
S.R. Cloude,Éric Pottier
摘要
In this paper, we provide a review of the different approaches used for target decomposition theory in radar polarimetry. We classify three main types of theorem; those based on the Mueller matrix and Stokes vector, those using an eigenvector analysis of the covariance or coherency matrix, and those employing coherent decomposition of the scattering matrix. We unify the formulation of these different approaches using transformation theory and an eigenvector analysis. We show how special forms of these decompositions apply for the important case of backscatter from terrain with generic symmetries.
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