鉴于几种传统融合方法在提高空间分辨率，保持原始影象光信息方面的有缺点，介绍了几种新的多种信息融合方法，这些方法运用代数运算与线性计算，既可避免传统融合算法存在的信息丢失,又可以提高影像的几何分辨率；对几种融合方法的效果进行了讨论；特别详述了在融合过程中，如何充分利用各波段的优点，克服了其缺点的方法，并提出了一种实用的多源遥感影象融合的流程，分析了图象融合的应用前景，实验证明，这种流程适合大数据量，大范围的影象融合。

This paper firstly made a brief introduction of several methods for information fusion. and also the paper raised a comparison of the fused images which were merged by wavelet transform, PCA an HIS methods, in spatial quality improving and spectral information preserving respectively. Then, the paper introduced several new fusion methods of Multisensor Remote Sensing data, Using algebra calculation and linear calculation,avoid lost spectral information of traditional method, and develop resolution of image, and author performed a discussion on the relationship between several methonds and the fused results, specially made useful advantage of image and overcome disadvantage of image in the fused process. Finally the article introduced a fusion framework of Multisensor Remote Sensing, the author particularly studied every process, include image match, image sharpness enhancement, image fusion, image color enhancement process. The framework is used for a big amount data and a large range image. The article introduced the application of image fusion.