Application of PBIL Algorithms in Remote Sensing Image Matching

A PBIL algorithm is presented to match remote sensing images.It uses the strategies of genetic operation and competitive learning,modifies the learning probabilities according to competitive learning,and then supervises the offspring generation.The detailed academic and experimental analysis are introduced,and the information entropy as one of the iterative terminated conditions is put forward.Experimental results show that this method is effective and fast,and the convergence procedure is stable.