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  • 标题:Quality Inspection and Quality Improvement by Map Fusion
  • 本地全文:下载
  • 作者:Hainan Chen ; Volker Walter ; Dieter Fritsch
  • 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:2008
  • 卷号:XXXVII Part B2
  • 页码:467-472
  • 出版社:Copernicus Publications
  • 摘要:In this paper a new approach for quality measurement and improvement using map matching and map fusion is introduced. In the first part we describe a matching model based on "Buffer growing". The matching, which is the basis for the quality inspection and the map fusion, is performed manually with a tool developed with VBA and ArcGIS. The quality inspection can be subdivided into a global and a local quality inspection. A global quality measure indicates the similarity of two datasets whereas a local quality measure indicates the similarity of a single matching pair. In the second part of the paper we introduce a method for the fusion of two datasets. The objects in one dataset are used as basis data. The unmatched objects of the other dataset have to be transferred into the basis dataset. In order to realize our approach, all unmatched objects are allocated in clusters. Then, linking nodes are searched in both datasets. The unmatched objects in the cluster are transferred into the basic dataset using a 2-parameter, 4-parameter or 6- parameter transformation
  • 关键词:Data Fusion; Matching; Quality Inspection
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