遥感影像的高性能并行处理技术研究

随着空间遥感技术和对地观测技术的不断发展,光学、热红外和微波等不同技术手段可以获取同一地区的多种遥感影像数据（多时相、多光谱、多传感器、多平台和多分辨率等）,每天获取的遥感数据量越来越大。同时,大量的遥感应用需要快速地对这些遥感数据进行处理与分析,提供辅助决策信息。因此,如果不能及时进行数据处理,这些数据就会失去时效性,甚至失去数据本身的价值。高性能计算与并行处理技术,加速了遥感影像数据处理与信息提取的进度,如大规模多处理系统、网格与云计算技术、通用图形处理器（GPGPU）等。文中综述了高性能计算、并行处理及云计算技术应用于遥感领域的最新进展,给出了一些研究与应用范例,并提出了当前高性能遥感影像处理所面临的一些挑战。

Research on High Performance Parallel Processing Technology for Remote Sensing Images

With the rapid developments in spatial remote sensing and earth observations,multiple approaches are used for remote sensing image acquisition,including multi-temporal,multi-spectral,various platforms and multi-scale precision based technologies. At the same time,the large amount of remote sensing application for processing and analysis of the remote sensing data,provide auxiliary decision-making information. These explosive sensed data will lose their temporal value if they can’ t be processed in time in many remote sensing applications. For the sake of high performance computing and parallel processing technologies,the image processing procedure is speeded by large scale multiprocessor system, grid and cloud computing platform and general purpose graphical processing units. In this paper summarize the recent advances in high performance computing,parallel processing,cloud computing technology for sensing field. Give some examples of research and application,also discuss some challenges in this research area.