全极化SAR图像中相干矩阵特征值及其应用

Coherent Matrix Eigenvalue and Eigenvalue Index of Polarimetric SAR Images and its Appliction of Bayes Classification

摘要:

推导了全极化合成孔径雷达相干矩阵的特征值和特征值指数与散射振幅函数的直接关系,并用全极化散射的植被模型讨论了特征值指数与植被稀疏程度的关系,结合Bayes极大似然分类法讨论了特征值指数在全极化多视AirSAR图像分类中的应用,最后用Monte Carlo模拟法给出了理论分类误差。

Abstract:

The direct relation among coherent matrix eigenvalue,eigenvalue index of polarimetric synthetic apert-ure radar(SAR) images and scattering amplitude function is derivated in this paper,and then the canopy model of polarimetric scattering is used to discus