The fusion technology is remote sensing data processing an important method. The TM multi-spectral and panchromatic SPOT images are the most popular choice of remote sensing. Comparative analysis of different methods for integration of TM multi-spectral and panchromatic SPOT image with the effect of the proposed change based on HSV color space, technology Brovey arithmetic transform and Gram-Schmidt spectral sharpening three fusion combined to achieve the same panchromatic and multi-spectral sensor data fusion. The assessment of experimental results indicates that: the amount of information in terms of space, after HSV transform the image with the largest spatial information, but its spectral fidelity have the least capacity; Brovey transform the original image to maintain the maximum spectral information, while the lower level of detail of spatial information; Gram-Schmidt spectral sharpening the image after the multi-spectral image not only maintain the spectral information, while maintaining a high spectral panchromatic image spatial detail information, is a better image fusion method.%融合技术是遥感数据处理中一种重要的方法.而TM多光谱与SPOT全色图像是遥感融合最为普遍的选择.为了对比分析不同方法在融合TM多光谱与SPOT全色图像上的效果,提出基于色彩空间的HSV变换、基于算数技术的Brovey变换和Gram-Schmidt波谱锐化3种融合方法相结合,实现了对同一传感器的全色和多光谱数据融合.试验表明；就空间信息量而言,经过HSV变换的图像具有最大的空间信息,但其光谱保真能力最差；Brovey变换最大限度保持了原始图像的光谱信息,而空间信息的详细程度较差；Gram-Schmidt波谱锐化后的影像不仅保持了多光谱影像的光谱信息,同时又保持了高光谱全色影像的空间细节信息,是一种较好的图像融合方法.
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