We proposes a novel fusion method for multi-sensor image fusion

whose basic thought comes from Brovey transformation. This method exploits a new calculation formula of the product coefficient in Brovey transformation through considering spectral range differences and spectral response differences of different sensors in multi-sensor image fusion.Based on the spectral range differences and spectral response differences of various sensors

the inferential reasoning formula was proposed. The relationship between panchromatic and multi-spectral images was built using weighting coefficient β and proportion coefficient w. Finally

the product coefficient in Brovey transformation was rebuilt by the two factors.The novel multi-sensor image fusion method has greatly reduced spectral distortion in Brovey transformation. To evaluate its performance and efficiency

four experiments using proposed fusion method

Brovey transformation and Modified IHS were carried out

including fusion of Beijing-1 small satellite （BJ-1） multi-spectral （MS） image and SPOT 5 panchromatic （PAN） image

the SPOT 4 MS image and BJ-1 PAN image

the Landsat 5 （TM） MS image and BJ-1 PAN image

and the HJ-1A MS image and SPOT 5 PAN image. Qualitative and quantitative evaluations of the tests were also conducted. The results showed that the proposed method is better than the other two methods generally. It shows good ability in spectral preservation and high spatial details immersion. The simpleness and timesaving make it high potential in future applications.