期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2006
卷号：XXXVI Part 4
出版社：Copernicus Publications
摘要：Today, a growing availability of geo datasets can be observed, together with an increasing accessibility of the data via web-services. In spite of this favourable situation, there are still some problems left on the way to true interoperability, which are due to the heterogeneity of the data sets: even when data relate to the same phenomena in reality, there are still geometric discrepancies left. The reasons for this are manifold: different underlying data model, different acquisition time, different acquisition type and finally different human operators who performed the measurements. In order to allow for a true interoperability a geometric adaptation of corresponding objects is necessary. Only then, overlay and buffer operations can be executed, as well as geometric calculations. In the paper, an approach for matching and adaptation of geometric objects is presented, which leads to one consolidated data set.The adaptation process starts with finding corresponding objects in both data sets using matching techniques. These corresponding objects serve as "anchor objects" according to which the adaptation of the rest of the data can be performed using rubber sheeting. The adaptation consists of two different adaptation operations, namely the well-known ICP-algorithm and the Dual Interval Adaptation (DIA), that allow for a global adaptation of whole objects, and local adaptation of parts of objects, respectively
