极化目标分解及其在图像分析中的应用

Polarimetric target decomposition and application in image enhancement

极化目标分解方法可以概括为三类:Huynen类型的分解理论、相干分解理论和基于特征值的分解理论,它们从不同的侧面刻画了目标的极化散射特性。本文分别对三种分解方法进行了较为详细的论述,并运用基于特征值的分解理论以及目标熵的概念,将其应用于极化雷达图像的分析中,结果表明目标分解法在极化雷达图像融合与增强、极化目标识别等领域有重要的作用。

We can generalize target decomposition methods to three kinds: Huynen type decomposition theorems, coherent decomposition theorems, eigenvalue-based decomposition theorems. They portray the polarimetric property of targets from different facets. In this paper, we discuss three decomposition methods and adopt eigenvalue-based decomposition theorems and target entropy to analyzing image of polarization radar. The results show that it is very important in the fields of image synthesis or enhancement and target recognition etc.