Abstract: 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.