A novel fusion algorithm for remote sensing image based on the second generation Curvelet transform is proposed. The histogram matching between the Pan image with high spatial resolution and the band image to be fused in the Ms images is performed to eliminate the spectral differences

and the histogram matched Pan image and the band image to be fused in the Ms images are decomposed by the Curvelet transform. Then

some fusion rules are employed to obtain the Curvelet coefficients of the fused image. Finally

the inverse Curvelet transform is performed to obtain the fused Ms image with high spatial resolution. Using the proposed method to simulate several sets of IKONOS images

experimental results demonstrate that the total spectrum preservation is improved by 10.54% compared with the Intensity-hue-saturation (IHS) transform method and the spatial quality is improved by 0.81%~1.12% compared with the Discrete Wavelet Transform (DWT) method. The proposed algorithm also can overcome the high spectrum distortion of the IHS method and the low spatial quality of the DWT method

so that the proposed algorithm can not only improve the spatial quality of the fused Ms images effectively

but also make the fused images in little spectrum distortion.