Streaming Remote Sensing Data Processing for the Future Smart Cities

IF 1.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun
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引用次数: 1

Abstract

The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This paper introduces current situation of remote sensing data processing and how timely remote sensing data processing can help build future smart cities. Current research on remote sensing data streaming is also introduced where the three typical and open-source stream processing frameworks are introduced. This paper also discusses some design concerns for remote sensing data streaming processing systems, such as data model and transmission, system model, programming interfaces, storage management, availability, etc. Finally, this research specifically addresses some of the challenges of remote sensing data streaming processing, such as scalability, fault tolerance, consistency, load balancing and throughput.
面向未来智慧城市的流遥感数据处理
数据的爆炸式增长和处理复杂性的提高,以及对实时处理和数据并发访问的需求日益增加,使得遥感数据流处理成为一个广泛的研究领域。本文介绍了遥感数据处理的现状,以及遥感数据及时处理如何帮助建设未来智慧城市。介绍了遥感数据流的研究现状,介绍了三种典型的开源数据流处理框架。本文还讨论了遥感数据流处理系统的数据模型与传输、系统模型、编程接口、存储管理、可用性等设计问题。最后,本研究针对遥感数据流处理的一些挑战,如可扩展性、容错、一致性、负载平衡和吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Agricultural and Environmental Information Systems
International Journal of Agricultural and Environmental Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.70
自引率
0.00%
发文量
10
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