In general

two or more images merging of multi-sensors is to merge a variety of image information of different sensors or different wave band

and then gain the determinant image of the target status and signature.In the process of image merging

a lot of information is complementary

but a great deal of information may still be redundant

we can reduce the redundancy degree and enhance the reliability of images through the merging of redundant information.On the basis of traditional method of image single-step merging

the paper puts forward a stepped strategy for image merging based on Genetic Algorithms

it is fit for the situations that the redundancy degree

complementary degree and the order of merging of images are all unknown.The algorithm uses fuzzy logic and Genetic Algorithms to make sure the redundancy degree and complementary degree among images

and determine the approximate optimal image merging strategy.At last we compare the visual effect and mathematic statistics of stepped merging with single-step merging and source image through experiments.