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:975-980
出版社:Copernicus Publications
摘要:A working integration of three-dimensional models with geo-referenced database holds great promise for large scale spatial study. In the past, the work was separated and difficult to combine between geo- referenced and 3D model databases while the needs of reliable and quickly 3D data was increasing. Until now, the rapid evolution of three-dimensional GIS technology and integrative modules, plug-ins and software seem to be outpacing course content in academic setting.This paper aims to describe the integration of geo-informatics techniques with 3D modelling software to develop three-dimensional GIS database which includes reconstruction of buildings, terrain, and other features that are relevant to a city model. The techniques used in the creation of a 3D GIS city model has been provided by the GIS environment and assisted by a high resolution satellite images used digital photogrammetry and 3D modelling software. The reliable data are prepared from digital photogrammetry and image analysis process using high resolution satellite image, then the data extraction continues to develop GIS database. The Google SketchUp Pro is selected for reconstruction of buildings with the reason that it is easy to use and ready for distribution. Compared with other modelling software, SketchUp's short learning curve and simple user-interface provide a straightforward vehicle for three-dimensional modelling. The simple transition between two-dimensional surface and three-dimensional extrusions let users efficiently translate source data to three- dimensional. Users can quickly develop three-dimensional models that are geo-referenced. The result shows that the efficiency of integrated technique to 3D GIS database development which is reliable and fast. The big challenge for the future work is the study of a new development approach for 3D generalization of spatial objects that will be used to improve the efficiency of 3D map visualization