DocumentCode
2135514
Title
The research on method of application-oriented information expression based on spectral knowledge database
Author
Pei-Juan, Wang ; Chun, Yan ; Su-Hong, Liu ; Qi-Jiang, Zhu ; Zhen-Kun, Tian
Author_Institution
Res. Center for Remote Sensing & GIS, Beijing Normal Univ., China
Volume
4
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
2594
Abstract
The standardized spectral database of the ground objects in China is consisted of the standardized observed spectral database, typical remote sensing image database, prior knowledge database, remote sensing model base and some tools for building the models. How to organize those data and knowledge with integrity in such a multi-sourced database system is one of the most important technical content. Based on those four databases, this paper is to explore the method of information expression, intended to solve the problem about how to organize the observed spectral data of the ground objects, the remote sensing images and the remotely sensing models according to a given applications. One of the implementations is to interpret the application´s request for the data and models into a command line (e.g., in the format of some standard programming languages) which is stored in a Job table. To execute it, the application´s request could be interpreted in a reverse logic. This method is illustrated by a good spectral application case based on the spectral database and shown the advantage in accelerating the industrialization of the remote sensing technology.
Keywords
data acquisition; geophysical techniques; image processing; remote sensing; China; Job table; application-oriented information expression; command line; ground objects; multi-sourced database system; remote sensing image database; remote sensing images; remote sensing model base; remote sensing technology; reverse logic; spectral knowledge database; standard programming languages; standardized observed spectral database; Database systems; Geographic Information Systems; Geography; Geologic measurements; Geology; Image databases; Laboratories; Remote monitoring; Remote sensing; Soil measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369828
Filename
1369828
Link To Document