中文摘要：

提出了一种基于Joint Boost特征选择的合成孔径雷达（synthetic aperture radar,SAR）信息可视化方法。实验选用了ESAR的德国某机场的极化干涉SAR数据,提取几乎所有极化干涉信息分量构成较为完备的特征信息集合,实验结果证明了该方法的有效性。

英文摘要：

In order to using the invisible information in SAR images,a SAR information visualization framework based Joint Boost feature selection method for SAR images is proposed in this paper.This method utilizes a learning method which called Joint Boost to choose the underlying information.Then the underlying information has been input into YCbCr or RGB space to show the information.The experiments are carried on a Pol-InSAR image of German airport from ESAR and have extracted almost all the Pol-InSAR parameters to form an almost complete information set.The results reveal the proposed algorithm’s efficient performances and superiorities.