Data fusion on remote sensing images can improve visualization of the images involved. For the data fusion between multi-spectral images and panchromatic image of Landsat7 satellite, Brovey transform is better than PCA transformation or HIS transformation. However, Brovey transformation only uses three bands of multi-spectral images. PCA can compress more than 95% of the original information into PC1 and PC2, and the information of vegetation can be showed in NDVI image. So, PC1，PC2 and NDVI were used as the fusion bands of Brovey transformation in this paper. The experimental results showed that vegetation information can be better obtained by the bands compounding than by former bands compounding.