Remote Sensing(RS) image rebuilding based on image feature level data fusion is a kind of image data fusion that is a sort of approach based upon spectral structure and texture feature of the objects.This paper presents feature fusion approach after enhancing remote sensing image edge with wavelet's multi-resolution analysis

and largely improve image's definition and resolving power.In the fusion process

instead of using the conventional HIS-Wavelet fusion

the author used low frequency parts of the R、G、B bands of the multi-spectral image which is decomposed by the wavelet and high frequency parts of the high-resolution image which is also decomposed by the wavelet to process the image fusion separately

and finally the new fusion image is composed by the new R、G、B bands.In this way

the author not only improves the definition and resolution of the multi-spectral image

but also retains the color feature which is important for multi-spectral fusion.At last the author validates the conclusion mentioned above with an experiment.