本文针对遥感图像IHS、HPF、DWT等典型的像素级融合算法，提出并实现了相应的基于数据并行的并行融合算法PIHS、PHPF、PDWT，并在算法时空复杂度分析的基础上进行了通信、I/O优化。针对IKONOS卫星遥感图像在机群系统上的测试结果表明，我们提出的并行算法可获得良好的并行加速比，并行效率较高。这三类算法适合于对实时性要求比较高的遥感应用领域。

In this paper,corresponding to the image fusion algorithms of IHS,HPF,DWT and other typical  remote sensing image fusion algorithms,the data parallel algorithms such as PIHS,PHPF,PDWT are proposed. Based on the algorithm complexity analysis of spacetime,the communication and I/O optimization are carried out. The IKONOS satellite images tested on a cluster system  show that our proposed parallel algorithm can obtain good parallel speedup and high parallel efficiency. These three algoriths are suitable for realtime remote sensing applications.