像素级遥感图像融合并行算法研究与实现  

Research and Implementation of the Parallel Algorithms of Pixel-Level Image Fusion for Remote-Sensing

作　　者：张灿峰[1] 周海芳[1] 

机构地区：[1]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《计算机工程与科学》2010年第9期34-38,46,共6页Computer Engineering & Science

基　　金：国家863计划资助项目(2007AA12Z147)

摘　　要：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.

关 键 词：遥感图像融合 IHS HPF DWT 并行化 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]