在这篇文章中，我们提出用一种全新的方法即前景后景分离（FBS）结构法来解释极化合成孔径雷达（极化SAR）图像。这种FBS结构法在像素上考虑了空间关系并融合了成对差异分组法的优点，FBS法可以将特定的目标和对象从背景中分离出来，这在解译系统中是必不可少的。可结合多种FBS操作来解译极化SAR图像并灵活地融合各种固有特征的极化SAR数据。几组极化SAR数据将被用来验证提出的方法。-In this article, we propose a new method that prospects King separation (FBS) structure method to explain polarimetric synthetic aperture radar (polarization SAR) images. Consider this the FBS structure of law in the pixel space relationship and integration of the advantages of a the paired differences packet law, the FBS method specific objectives and targets can be separated from the background, which is essential to the interpretation system. Can be combined with a variety of the FBS operation to interpret polarimetric SAR images and flexible integration of a variety of inherent characteristics of polarimetric SAR data. Groups polarimetric SAR data will be used to verify the proposed method.