Image fusion on high resolution image is one of the most important contents in remote sensing community.In this paper

image fusion algorithm based on Empirical Mode decomposition（EMD） is put forward for the first time.Firstly

intensity image is obtained by IHS transform on multi-spectral image.Secondly

high frequence component and low frequence component of high resolution image and intensity image are separated with 2D EMD realized by means of row and coloum extension of 1D EMD

which are applied to perform image fusion experiment of high resolution image.At last

fused intensity image is obtained by reconstruction with high frequence of high-resolution image and low frequence of intensity image and IHS inverse transform result in fused image.After presenting EMD principle

multi-scale decomposition and reconstruction algorithm of 2D EMD is defined and fusion technique scheme is advanced based on EMD.Panchromatic band and multi-spectral band3

2

1 of QUICKBIRD are used to assess the quality of the fusion algorithm.After selecting appropriate Intrinsic Mode Function（IMF） for the merger on the basis of EMD analysis on specific row（colum） pixel gray value series

the fusion scheme gives fused image

which is compared with generally used fusion algorithms（Wavelet

IHS

Brovey）.The objectives of image fusion include enhancing the visiblity of the image and improving the spatial resolution and the spectral information of the original images.For assessing quality of an image after fusion

information entropy and standard deviation are applied to assess spatial details of the fused images and correlation coefficient

bias index and warping degree for measuring distortion between the original image and fused image in terms of spectral information.For all the proposed fusion algorithm

better results are obtained when EMD algorithm is used to perform the fusion experience.