Title :
Organization and query of point clouds data based on SQL Server spatial
Author :
Chen, Yijin ; Zhang, Huixia ; Fu, Xiaoxue
Author_Institution :
Coll. of Geosci. & Surveying Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
Three-dimensional laser scanning produces a large number of point clouds data. In order to efficiently retrieve the point clouds data, this paper stores the point clouds data in SQL Server 2008, and create a spatial index. Using C # software and SQL Server 2008 Spatial technology to achieve the storage and inquiry of point clouds data, and the results of the inquiry is carried out visualization in the MapObjects component, preparing for the follow-up feature extraction. The test shows that the method greatly improves the efficiency of point clouds data retrieval.
Keywords :
Internet; SQL; data visualisation; feature extraction; query processing; visual databases; C # software; MapObjects component; SQL server spatial; data retrieval; data visualization; feature extraction; point cloud data query; spatial index; three dimensional laser scanning; SQL Server 2008 Spatial; index; point clouds data;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564615