ASAR Information Visualization Framework Based Joint Boost Feature Selection Method

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.