Multi-spectral information fusion is the combination of information acquired from multi-spectral sensors in the same scene to acquire clearer description about the scene by using the temporal and spacial correlation

and their complementarity. The realistic fusion refers to the conservation of spectral features from original multi-spectral images in certain case in the new fused image. In this paper we propose a new image fusion method by analyzing advantage and disadvantage of several common methods and studying those applicable environments. This method integrates several fusion methods according to those applicable environments. Besides we propose a new HVS based image fusion which is suitable for little correlation among the multi-spectral images. The HVS based method can extrude target spectral character. When the correlation among multi-spectral images is strong

the wavelet transform-based or PCA method is used according to the distance of the targets. Experiments show that our integrated method can be suitable for different type scene

and the fusion results are better than that using single fusion method and the result is advantageous to the detection and recognition for targets.