In order to decrease the spectral distortion while improving the spatial resolution during the fusion of remote sensing images

an image fusion method based on Choquet fuzzy integral is proposed in this paper. Firstly

an intensity-hue-saturation （IHS） transform is performed for multispectral images. Then the panchromatic image and the intensity component of multispectral images are decomposed using discrete wavelet transform respectively. In the wavelet domain

for the low-frequency component

the wavelet coefficients of the I component are selected directly. For the high-frequency component

the wavelet coefficients are selected according to an integrative index which is colligated with the values of variation

average gradient and energy in the local region by Choquet fuzzy integral. Further

the fused intensity component is obtained by inverse discrete wavelet transform. Finally

the fused images are obtained by inverse IHS transform. The experiment results demonstrate our proposed method effectively.