摘要
随着空间遥感技术、对地观测技术的不断发展,一个以多时相、多分辨率、多传感器、多波段为特征的多层、立体、多角度、全方位和全天候遥感对地观测数据获取与处理体系正在形成。该体系必然会带来海量、多源的遥感数据。提出了采用目前商业上成功的云计算模型来实现一个高性能、高可扩展性、高可用的遥感处理服务,并结合原型系统,详细阐述了该处理系统的组成与关键技术。
As the development of technologies of earth observation, receiving and processing systems for earth-observed data are emerging. Managing the large volume and multi-source data is a key problem for the earth observation system. This paper analyzed several modes of remote sensing service and proposed adopting the cloud computing mode to implement remote sensing service for better scalability, performance and stability. Showed the prototype system named OpenRS-Cloud to illustrate the system framework and key technologies.
出处
《计算机应用研究》
CSCD
北大核心
2009年第9期3428-3431,共4页
Application Research of Computers
基金
国家"863"计划资助项目(2007AA120203)
关键词
分布式计算
遥感
MAPREDUCE
并行
服务模型
云计算
distributed computing
remote sensing
MapReduce
parallel computing
service mode
cloud computing