基于IKONOS-2全色与多光谱图像和Cartosat-1全色与CBERS-02多光谱图像,通过模拟的和真实的配准误差,采用IHS融合和Brovey融合方法,本文讨论了配准误差对融合结果的影响。实验表明,配准误差对融合质量的影响较大,在遥感图像融合处理中,配准误差越小越好;对于保持光谱信息的融合,当配准误差增加时,两种方法产生的光谱变形都迅速增加,此后光谱变形程度随配准误差的变大继续缓慢增强;对于保持空间信息的融合,配准误差的增大,导致两种方法融合结果的清晰度都下降,但下降速度略有不同。 Based on the IKONOS-2 panchromatic and multispectral images and the Cartosat-1 panchromatic and CBERS-02 multispectral images, IHS fusion and Brovey fusion methods are adopted by simulating and true registration errors. Effect of the result. Experiments show that the registration error has a great influence on the fusion quality. In the remote sensing image fusion processing, the registration error is as small as possible. For the fusion of maintaining the spectral information, when the registration error increases, the spectral distortion produced by the two methods The degree of spectral distortion continued to increase slowly with the increase of the registration error. For the fusion of spatial information, the registration error increased, which led to the decrease of the sharpness of fusion result between the two methods, but the rate of decline was slightly different.