[1]陈远杰,余劲松弟,佟瑞菊.运用覆盖模型的遥感时序数据Web互操作[J].华侨大学学报(自然科学版),2018,39(6):899-905.[doi:10.11830/ISSN.1000-5013.201711019]
 CHEN Yuanjie,YU Jinsongdi,TONG Ruiju.Remote Sensing Time-Series Data Web Interoperability Using Coverage Model[J].Journal of Huaqiao University(Natural Science),2018,39(6):899-905.[doi:10.11830/ISSN.1000-5013.201711019]
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运用覆盖模型的遥感时序数据Web互操作()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第39卷
期数:
2018年第6期
页码:
899-905
栏目:
出版日期:
2018-11-20

文章信息/Info

Title:
Remote Sensing Time-Series Data Web Interoperability Using Coverage Model
文章编号:
1000-5013(2018)06-0899-07
作者:
陈远杰12 余劲松弟12 佟瑞菊3
1. 福州大学 空间数据挖掘和信息共享教育部重点实验室, 福建 福州 350003;2. 福州大学 福建省空间信息工程研究中心, 福建 福州 350003;3. 福建工程学院 交通学院, 福建 福州 350118
Author(s):
CHEN Yuanjie12 YU Jinsongdi12 TONG Ruiju3
1. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350003, China; 2. Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350003, China; 3. Transportation College, Fujian University of Technology, Fuzhou 350118, China
关键词:
覆盖模型 遥感时序数据 互操作 数据挖掘 遥感生态指数
Keywords:
coverage model remote sensing(time-series)data interoperability data mining remote sensing ecological index
分类号:
TP393
DOI:
10.11830/ISSN.1000-5013.201711019
文献标志码:
A
摘要:
提出从概念、逻辑、物理三个层次实现遥感时序数据覆盖模型(RSTSDCM),并补充遥感影像元数据,使其能被有效解析.该模型遵循覆盖标准,支持基于Web覆盖服务(WCS)/Web覆盖处理服务(WCPS)的互操作挖掘应用.为实现此应用,设计基于该模型的快速原型,通过中间件连接Rasdaman覆盖数据处理引擎和Rserve服务,耦合二者特性,在WCPS计算基础上,利用R建立数据挖掘模型,使遥感信息互操作挖掘能力提升到更高层次.进行郑州市主城区遥感生态指数(RSEI)互操作计算的试验.结果表明:该模型不仅支持遥感时序数据互操作,更能挖掘出隐含的时空动态变化信息及专题时态数据相关关系.
Abstract:
A remote sensing time-series data coverage model(RSTSDCM)is proposed and implemented from the three levels of concept, logic, and physics, and the metadata of remote sensing image is supplemented so that it can be effectively resolved. RSTSDCM follows coverage standard, supports interoperable mining applications based on Web coverage service(WCS)/Web processing coverage service(WCPS). To implement the application, a middleware application prototype based on RSTSDCM is designed to connect Rasdaman and Rserve. On the basis of WCPS computing, a data mining model is established by R. In this way, interoperability of local remote sensing information mining is promoted to a higher level. Finally, an interoperability experiment of Zhengzhou city remote sensing ecological index(RSEI)calculation shows RSTSDCM not only supports Web interoperation of remote sensing data, but also reveals implicit spatio-temporal dy- namic informa-tion and correlation of thematic temporal data.

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备注/Memo

备注/Memo:
收稿日期: 2017-11-05
通信作者: 余劲松弟(1984-),男,副研究员,博士,主要从事地理信息标准化、数字化对地观测、空间数据库和长期科学数据保存的研究.E-mail:yyx350@126.com.
基金项目: 国家自然科学基金资助项目(41401454); 中国博士后科学基金资助项目(2015M582029); 福建省教育厅科技项目(JAT160323)
更新日期/Last Update: 2018-11-20