The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLII-4/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 317–319, 2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 317–319, 2018

  30 Oct 2018

30 Oct 2018


D. S. Ahn, J. H. Park, and J. Y. Lee D. S. Ahn et al.
  • Dept. of Geoinformatics, University of Seoul, Dongdaemun-gu, Seoul, 163 Seoulsiripdearo, Republic of Korea

Keywords: Geospatial Data Fusion, Topological Data Model, 3D GIS, Anchor Node, IndoorGML

Abstract. Currently, geospatial datasets are produced in various models and formats in accordance with the spatial scale of the real world such as ground/ surface/underground or indoor/outdoor. The location-based services application also uses the optimal data model and format for each purpose. Therefore, there are various geospatial dataset for representing features of the same space. Various geospatial data on same object cause problems with the financial problems and the suitability of the data. In the paper, we reviewed how to integrate existing geospatial data to utilize geospatial data constructed in different models and formats. There are four main ways to fuse existing geospatial information. The existing geospatial data fusion methods consist of a method through geometry data conversion, a method through the aspect of visualization, a method based on attribute data, and a method using topological relationships. Based on this review, we defined a geospatial data fusion method on topological relationships, which is a method considering topological relationship between geospatial objects. In this method, the topological relationship of objects uses the basic concept of IndoorGML.