运用覆盖模型的遥感时序数据Web互操作

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.

Remote Sensing Time-Series Data Web Interoperability Using Coverage Model

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.