The registration of heterogeneous images is one of the most important steps of multi-resource image fusion.Heterogeneous image registration algorithms need to extract and match the invariant feature precisely

which can be difficult due to huge differences between optical and SAR imaging principles.This problem can be avoided by introducing implicit similarity existing in the same scenes.The algorithm in this paper constructs the implicit features by large scale pixels and then similarity criterion function is constructed using pixels migration.The registration results can be obtained by optimizing criterion function through genetic algorithm(GA)’s global optimum solution.Experimental results show the registration accuracy of this algorithm achieves pixel level.