Abstract: New-style high resolution WorldView-2 satellite images pose challenges to the image fusion techniques. A new pansharpening method is proposed in this paper. First, 8-band multispectral imagery is resampled by nearest neighbor interpolation. According to the relative spectral responses between the multispectral band and the panchromatic band, a low spatial resolution panchromatic image is evaluated through multivariate linear regression. The spatial details are extracted from the original panchromatic image, and then injected into the component space of multispectral imagery. Finally, the pansharpened results are produced by employing inverse correspondence analysis transform. The experimental results show that the proposed method can obtain a better trade-off between the spatial resolution enhancement and the spectral information preservation compared to some existing methods.