摘要
针对SAR信号海量数据的处理困难,提出了一种基于服务器组的优化处理算法,该算法以CS算法为基础,将CS算法中的各个部分进行优化分解,分别在不同的服务器上进行计算,实现计算效率的最优化.最后通过仿真证明了该算法的有效性,为SAR海量数据的批量处理提供了一定的依据.
The present paper in view of the SAR signal mass data＇s processing difficulty, proposed one kind based on the server group＇ s optimized processing algorithm. This algorithm take the CS algorithm as a foundation, carries on the optimization CS algorithm＇s in each part to decompose, carries on the computation separately on the different server, realizes the counting yield optimization. Finally through the simulation it had proven the algorithm＇s validity, and how to laid the foundation of the SAR mass data batch processing.
出处
《湘潭大学自然科学学报》
CAS
CSCD
北大核心
2009年第4期120-123,共4页
Natural Science Journal of Xiangtan University
基金
国家自然科学基金重大研究计划项目(90718006)
关键词
SAR
成像处理
服务器组
优化
SAR
image processing
server group
optimization
