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System architecture of coastal remote sensing data mining and services based on cloud computing

机译:基于云计算的沿海遥感数据挖掘和服务系统体系结构

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摘要

Coastal remote sensing images have huge data which has features of the volume, variety, complexity and specialisation. The problem is how to effectively carry out data integration, fast extract and data mining of knowledge and information from these massive remote sensing data as it is far behind the requirements of coastal professional applications. In this paper, based on data mining, remote sensing theory, space information and cloud computing technology towards the goal of coastal zone remote sensing data integration and data mining service system, the meta-data model, data storage model, data mining framework, web service framework model, etc. are provided and designed. Finally, a prototype system of remote sensing data mining services in the cloud computing environment is designed and developed using system integration, and is demonstrated and verified by professional applications. It is valuable to serve the development of the coastal zone, monitoring, planning and integrated management and other fields.
机译:沿海遥感图像具有巨大数据,具有体积,品种,复杂性和专业化的特点。问题是如何从这些大规模遥感数据中有效地执行知识和信息的数据集成,快速提取和数据挖掘,因为它远远落后于沿海专业应用的要求。本文基于数据挖掘,遥感理论,空间信息和云计算技术朝着沿海区遥感数据集成和数据挖掘服务系统的目标,元数据模型,数据存储模型,数据挖掘框架,网页提供和设计服务框架模型等。最后,使用系统集成设计和开发了云计算环境中的遥感数据挖掘服务的原型系统,并通过专业应用进行了演示和验证。服务于沿海地区,监测,规划和综合管理等领域的发展是有价值的。

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