ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 121–125, 2018
https://doi.org/10.5194/isprs-annals-IV-3-121-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 121–125, 2018
https://doi.org/10.5194/isprs-annals-IV-3-121-2018

  23 Apr 2018

23 Apr 2018

REVIEW OF 3D GIS DATA FUSION METHODS AND PROGRESS

Wei Hua1, Miaole Hou1,2,3, and Yungang Hu1,2,3 Wei Hua et al.
  • 1School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, No.15Yongyuan Road, Daxing District, Beijing, 102616, China
  • 2Beijing Key Laboratory For Architectural Heritage Fine Reconstruction & Health Monitoring, No.15Yongyuan Road, Daxing District, Beijing, 102616, China
  • 3Engineering Research Center of Representative Building and Architectural Heritage Database, Ministry of Education, No.15Yongyuan Road, Daxing District, Beijing, 102616, China

Keywords: Data Fusion, Terrain Model, Ground Object Model, Triangulated Irregular Network, Regular Square Grid

Abstract. 3D data fusion is a research hotspot in the field of computer vision and fine mapping, and plays an important role in fine measurement, risk monitoring, data display and other processes. At present, the research of 3D data fusion in the field of Surveying and mapping focuses on the 3D model fusion of terrain and ground objects. This paper summarizes the basic methods of 3D data fusion of terrain and ground objects in recent years, and classified the data structure and the establishment method of 3D model, and some of the most widely used fusion methods are analysed and commented.