Funsion Method of Multi-source Remotely Sensed Images for Avoiding Regional Differences

For a series of multi-source remotely sensed images of the same area, the sensors’ types and the shooting time will be different. Therefore, there will be varying kinds of distortion or noise in the images, especially the features information will be different, resulting incompletely matching in the process of fusion[1]. Most of the existing methods of fusion are unable to achieve a balance between the spatial and spectral resolution. However, Li[2] and Ehlers[3] have done relatively well, but they did not solve the issue of fusing the regional differences of spatial information between multi-spectral(MS) and panchromatic(Pan) images. Thus, there will be inconsistence in spatial information, serious distortion in color and blur in regional features. The Fusion Method of Adding Different Coefficients on Multi-source Images(FMADCMI) was proposed in this paper. The experiment and analysis proves the method’s ability of preserving spectral characteristics, improving spatial resolution and solving the issue of fusing the regional differences of spatial information.