摘要
随着遥感技术在水利应用上的逐步推进,海量多源遥感数据的低处理效率和共享程度成为该技术应用瓶颈。借鉴国内外现有技术经验,结合水利信息聚合应用特点,分析了解决该问题的空间数据密集和并行计算、快速检索与传输等几个关键支撑技术。通过对现有系统集成和应用模式的剖析,在理论上提出该运行框架的初步设计,为水利遥感数据中心的建设提供参考和建议。
Along with the gradual promotion of applying remote sensing technology in water resources industry,lower data processing efficiency and sharing degree of multi-source and massive remote sensing data have become the bottlenecks in technology application.With reference to technical experiences both home and abroad,and according to features of information aggregation,the paper makes an analysis about key technologies for solving those problems,such as spatial data-intensive computation,parallel calculation,and fast retrieval and transmission.Through an analysis on existing system integration and application mode,the article also theoretically points out the preliminary design of operation framework,offering reference and suggestions for the construction of remote sensing data center for water information.
出处
《水利信息化》
2011年第2期9-14,共6页
Water Resources Informatization
基金
中央高校基本科研业务费专项资金资助(20082130202000045)
水利部公益性行业科研专项经费项目(201001046)
关键词
水利数据
遥感数据
共享平台
数据密集型
高性能
运行
water data
remote sensing data
sharing platform
data-intensive
high performance
operation
