A feature-based approach to conflation of geospatial sources
A feature-based approach to conflation of geospatial sources
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DOI：
10.1080/13658810410001658076
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发表时间：
2004-07
影响因子：
5.7
通讯作者：
A. Samal;S. Seth;Kevin Cueto
中科院分区：
文献类型：
--
作者：
A. Samal;S. Seth;Kevin Cueto
填充有不同数据源的地理信息系统（GIS）具有同一现实世界对象的多种不同表示。通常，这些源中的信息类型是不同的，将它们组合起来生成一个复合表示有很多好处。合并过程的第一步是识别不同来源中代表同一真实世界实体的特征。匹配过程并不简单，因为来自不同来源的识别特征在位置、范围和描述上并不总是匹配的。我们提出了一种新的方法来匹配来自不同来源的GIS功能。一个图论的方法是用来模拟的地理环境，并确定匹配功能，从多个来源。实验证明了该方法的可行性。
A Geographic Information System (GIS) populated with disparate data sources has multiple and different representations of the same real-world object. Often, the type of information in these sources is different, and combining them to generate one composite representation has many benefits. The first step in this conflation process is to identify the features in different sources that represent the same real-world entity. The matching process is not simple, since the identified features from different sources do not always match in their location, extent, and description. We present a new approach to matching GIS features from disparate sources. A graph theoretic approach is used to model the geographic context and to determine the matching features from multiple sources. Experiments on implementation of this approach demonstrate its viability.