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基于全球剖分模型的空间信息编码模型初探
为解决由于不同GIS数据模型中同一空间实体的编码不惟一而导致数据共享困难及标识的静态性 和无空间位置等问题,鉴于全球剖分模型的全球连续性、多层次性以及剖分面片地址码的全球惟一性,该文提出了基于全球剖分模型的全球空间信息剖分编码 (Geo DNA)模型,并设计了该编码模型的系统架构,试图实现全球空间信息的全息表达。通过对遥感影像中的空间实体进行编码试验,表明全球空间信息剖分编码模型 将大大增强空间信息的维护与共享能力,加快信息的查询与检索速度,在区域性的应急反应上具有很强的理论和实用价值
-Spatial information coding model based on global mesh model to solve the coding of the different GIS data model entities in the same space is not only caused by static data sharing difficulties and identified problems and non-spatial location, given the global Global Subdivision Model continuity, as well as the world' s only multi-level nature of the subdivision patches address code, this paper, based on global spatial information coding subdivision global subdivision model (Geo DNA) model, system architecture and design of the coding model, trying to implement holographic expression of global spatial information. Through remote sensing image spatial entity encode test, that the global information space subdivision coding model will greatly enhance the ability to maintain and sharing of spatial information, accelerate the speed of query and retri of information on regional emergency response with strong theoretical and practical value
为解决由于不同GIS数据模型中同一空间实体的编码不惟一而导致数据共享困难及标识的静态性 和无空间位置等问题,鉴于全球剖分模型的全球连续性、多层次性以及剖分面片地址码的全球惟一性,该文提出了基于全球剖分模型的全球空间信息剖分编码 (Geo DNA)模型,并设计了该编码模型的系统架构,试图实现全球空间信息的全息表达。通过对遥感影像中的空间实体进行编码试验,表明全球空间信息剖分编码模型 将大大增强空间信息的维护与共享能力,加快信息的查询与检索速度,在区域性的应急反应上具有很强的理论和实用价值
-Spatial information coding model based on global mesh model to solve the coding of the different GIS data model entities in the same space is not only caused by static data sharing difficulties and identified problems and non-spatial location, given the global Global Subdivision Model continuity, as well as the world' s only multi-level nature of the subdivision patches address code, this paper, based on global spatial information coding subdivision global subdivision model (Geo DNA) model, system architecture and design of the coding model, trying to implement holographic expression of global spatial information. Through remote sensing image spatial entity encode test, that the global information space subdivision coding model will greatly enhance the ability to maintain and sharing of spatial information, accelerate the speed of query and retri of information on regional emergency response with strong theoretical and practical value
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