DocumentCode :
2145908
Title :
Data structure of corn scene visualization
Author :
Hu, Ni ; Xie, DongHui ; Du, Keping
Author_Institution :
Res. Center for Remote Sensing & GIS, Beijing Normal Univ.
Volume :
7
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4846
Abstract :
This research focuses on the study of crop scene visualization based on crop simulation and knowledge engineering techniques. Corn data are measured in the field of Luancheng, Mebei Province and Shunyi, Beijing City. In the study of 3D simulation of crop realistic structure, the object-oriented knowledge Database of crop realistic structure is in further development. The data structure of realistic scene used here can organize the whole visualization process well. With the appearance of the realistic structure model of the quantity remote sensing, the field of crop visualization study is more and more important. During the process of studying visualization, the object-oriented 3D visualization data model arises, which is used as the formation of the crop realistic structure. 3D visualization data model can be applied to the description of crop structure successfully by object-oriented design and confirming the geometrical and logical relation. In this paper, we have the description and computer simulation of the scene of vegetation as a main clue. We are working on the data organization by design principle of Objected-Oriented DBMS. We use the corn scene data from the experiments in Shunyi, Beijing City, 2001 as an example to build the remote sensing data model. Then, we produce the 3D model using L-system, and present 3D scene of summer corn on the computer to show the visualization
Keywords :
crops; data models; data visualisation; digital simulation; geophysics computing; knowledge engineering; object-oriented databases; vegetation mapping; 3D simulation; AD 2001; Beijing City; L-system 3D model; Luancheng; Mebei Province; Objected-Oriented DBMS; Shunyi; computer simulation; corn scene data; corn scene visualization; crop realistic structure; crop scene visualization; crop simulation; data organization; data structure; geometrical relation; knowledge engineering techniques; logical relation; object-oriented 3D visualization data model; object-oriented design; object-oriented knowledge Database; quantity remote sensing; realistic structure model; remote sensing data model; vegetation; Cities and towns; Crops; Data models; Data structures; Data visualization; Knowledge engineering; Layout; Object oriented databases; Object oriented modeling; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370248
Filename :
1370248
Link To Document :
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