Li, Xuerong
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ISSN1742-7185
2017
卷号15期号:3-4页码:267-276
关键词Cloud computingCoastal zonesComputer architectureData integrationDigital storageRemote sensingSoftware prototypingSpace opticsWeb services
DOI10.1504/IJCSE.2017.087406
产权排序(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Laishan District, Yantai; 264003, China
作者部门海岸带信息集成与综合管理实验室
英文摘要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. ? 2017 Inderscience Enterprises Ltd.
文章类型Conference article
收录类别EI
语种英语
研究领域[WOS]Marine Science and Oceanography
EI主题词Cloud computing; Coastal zones; Computer architecture; Data integration; Digital storage; Remote sensing; Software prototyping; Space optics; Web services
EI入藏号20174304291177
引用统计
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/25213
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
支撑部门
作者单位Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 17 Chunhui Road, Laishan District, Yantai; 264003, China
推荐引用方式
GB/T 7714Li, Xuerong,Wang, Xiujuan,Wu, Lingling. System architecture of coastal remote sensing data mining and services based on cloud computing[J],2017,15(3-4):267-276.
APALi, Xuerong,Wang, Xiujuan,&Wu, Lingling.(2017).System architecture of coastal remote sensing data mining and services based on cloud computing.,15(3-4),267-276.
MLALi, Xuerong,et al."System architecture of coastal remote sensing data mining and services based on cloud computing".15.3-4(2017):267-276.
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