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     Research Journal of Applied Sciences, Engineering and Technology


The Study on Information Extraction Technology of Seismic Damage

1, 2Huang Zuo-wei, 1Huang Yuan-jiang and 2Qiu Luo
1School of Architecture and Urban Planning, Hunan University of Technology, Zhuzhou 412008, China
2School of Geosciences and Information-Physics, Central South University, Changsha 410083, China
Research Journal of Applied Sciences, Engineering and Technology  2013  1:253-258
http://dx.doi.org/10.19026/rjaset.5.5113  |  © The Author(s) 2013
Received: June 01, 2012  |  Accepted: June 21, 2012  |  Published: January 01, 2013

Abstract

In order to improve the information extraction technology of seismic damage assessment and information publishing of earthquake damage. Based on past earthquake experience it was constructed technical flow of earthquake damage assessment rapidly, this study, take Yushu earthquake as example, studies the framework and establishment of the information service system by means of Arc IMS and distributed database technology. It analysis some key technologies, build web publishing architecture of massive remote sensing images. The system implements joint application of remote sensing image processing technology, database technology and Web GIS technology, the result could provide the important basis for earthquake damage assessment, emergency management and rescue mission.

Keywords:

Arc IMS, disaster monitoring and assessment, information extraction, remote sensing,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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