Research on Database Storage of Large-scale Terrestrial LIDAR Data

被引：0
|
作者：
Guo Ming [1 ]
Wang Yanmin [1 ,2 ]
Zhao Youshan [3 ]
Zhou Junzhao [4 ]
机构：
[1] State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[2] Beijing Univ Civil Engn & Architecture, Dept Survey & Mapp, Beijing 100044, Peoples R China
[3] China Acad Bldg Res, Beijing 100013, Peoples R China
[4] China Inst Geotech Investigat & Surveying, Beijing 100007, Peoples R China
来源：
2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS | 2009年
关键词：
3-D laser scanning(1); LIDAR(2); ORACLE 11g(3); point-cloud(4); ODP.NET5; BLOB6;
D O I：
10.1109/IFCSTA.2009.127
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Generally speaking, a large number of point-cloud data will be generated in the process of collecting 3D structure information of large building using the 3D LIDAR technology. Based on analyzing raw files content and form 3D laser scanning point-cloud data is reorganized and a storage mean of large-scale point-cloud data which is by data stream means is presented in this paper. The data is stored in Oracle 11g database in the SecureFile (BLOB) form. ODP.NET is selected as the database access interface, C# as experimental programming language. Database design model and stored procedure of large-scale 3D laser scanning point-cloud data is introduced. The study gives a new idea and research direction for applications an d developments based on large-scale 3D laser scanning data.
引用
收藏
页码：19 / +
页数：2
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