NDLI: Data structure of corn scene visualization

Content Provider	IEEE Xplore Digital Library
Author	Ni Hu Donghui Xie Keping Du
Copyright Year	2004
Description	Author affiliation: Res. Center for Remote Sensing & GIS, Beijing Normal Univ. (Ni Hu; Donghui Xie; Keping Du)
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
Starting Page	4846
Ending Page	4849
File Size	579033
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1370248
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data structures Layout Data visualization Crops Object oriented modeling Data models Cities and towns Remote sensing Knowledge engineering Object oriented databases
Content Type	Text
Resource Type	Article

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