This paper applies target decomposition theory to high resolution polarization target classification.

尝试将目标分解算法用于高分辨率极化目标的识别。

youdao

Algorithm of target classification based on polarization synthesis is proposed, when it is acted as input value of classifier. Then, polarimetric SAR data is applied to classification experiment.

将其作为分类器的输入特征量，提出了一种基于极化合成的目标分类算法，并对实测极化SAR数据进行了分类实验。

youdao

Polarization is an important characteristic of electromagnetic wave. It, especially the optimal polarization, can provide a comprehensive method for the target identification and classification.

极化特性是电磁波的四大特性之一，通过对目标极化特性特别是最优极化特性的分析，将为雷达目标识别和分类研究提供更全面的方法和工具。

youdao