Integration of heterogeneous geospatial data in a federated database
Integration of heterogeneous geospatial data in a federated database
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DOI：
10.1016/j.isprsjprs.2007.04.003
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发表时间：
2007-10-01
影响因子：
12.7
通讯作者：
Sester, Monika
中科院分区：
文献类型：
--
作者：
Butenuth, Matthias;Goesseln, Guido V.;Sester, Monika
异类地理空间数据的集成提供了手动和自动派生新信息的可能性，这在仅使用单个数据源时是不可用的。此外，它允许一致的表示和将更新从一个数据集传播到另一个数据集。然而，不同的获取方法、数据模式和内容的更新周期可能会导致几何和专题的准确性和正确性方面的差异，从而阻碍合并整合。为了克服这些困难，需要采用适当的方法来整合和统一来自不同来源和不同类型的数据。在本文中，我们描述了两种常见的情况，包括新的集成算法，即两个异质矢量数据集的集成，以及栅格和矢量数据的集成。这两种算法都链接到一个联合数据库，该数据库允许自动对象匹配和管理n：m关系。我们使用来自地形和地学的矢量数据以及多光谱图像来描述和说明我们的工作。(C)2007年国际摄影测量和遥感学会(摄影测量和遥感学会)。爱思唯尔出版，版权所有。
The integration of heterogeneous geospatial data offers possibilities to manually and automatically derive new information, which are not available when using only a single data source. Furthermore, it allows for a consistent representation and the propagation of updates from one data set to the other. However, different acquisition methods, data schemata and updating cycles of the content can lead to discrepancies in geometric and thematic accuracy and correctness which hamper the combined integration. To overcome these difficulties, appropriate methods for the integration and harmonization of data from different sources and of different types are needed. In this paper we describe two generic cases including novel integration algorithms, namely the integration of two heterogeneous vector data sets, and the integration of raster and vector data. Both algorithms are linked to a federated database which allows for automatic object matching and for managing n:m relationships. We describe and illustrate our work using vector data from topography and the geosciences, as well as multi-spectral imagery. (C) 2007 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.