海量卫星遥感数据实时存储技术的设计与实现

Zheng Zhou, Zhinong Zhong, Jun Li, Jiangjiang Wu
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引用次数: 0

摘要

随着人类卫星观测系统的发展,卫星遥感数据量呈现爆发式增长。海量遥感数据对存储系统的存储容量、数据可用性和I / O性能等方面的要求越来越高。本文研究了现场高实时性遥感数据分析处理中海量卫星数据的实时存储技术,重点设计了多线程数据低延迟处理技术和复杂异常处理技术,有效保证了数据分析处理对数据连续写入的时效性要求。实验表明,该方法能有效提高海量卫星数据的实时访问效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Real-Time Storage Technology for Mass Satellite Remote Sensing Data
With the development of human satellite observation system, the amount of satellite remote sensing data shows explosive growth. Massive remote sensing data storage capacity of the storage system, data availability and I / O performance and other aspects of the increasingly high demands. In this paper, we study the real-time storage technology of massive satellite data in the field analysis and processing of high real-time remote sensing data, and focus on the design of multi-thread data low-delay processing technology and complex exception processing technology Effectively guarantee the data analysis and processing of data on the continuous writing of the timeliness requirements. Experiments show that the proposed method can effectively improve the real-time access efficiency of massive satellite data.
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