DocumentCode :
2681759
Title :
Study on construction seismic damage loss assessment using RS and GIS
Author :
Wang, Long ; Xiaoqing Wang ; Dou, Aixia ; Wang, Dongliang
Author_Institution :
Inst. of Earthquake Sci. CEA, Beijing
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
4663
Lastpage :
4666
Abstract :
In this paper, a quick assessment method for earthquake emergency is introduced. The method contains two different modes to obtain damage information from remote sensing images, one of which is based on damage index and the other adopts image classification. The damage index mode relies on traditional visual interpretation. After the damage index is given by experts, the ground intensity data can be gained, and then loss estimate parameters will be acquired from the experiential vulnerability matrix. The image classification mode is an application of digital image processing technique. Those loss estimate parameters can be calculated from the classification result which is sorted by the type of buildings and ranged by the damage degree. While the assessment models are introduced, the action of multi-resourced estimate data is explained to show how to find parameters in various data.
Keywords :
earthquakes; geographic information systems; geophysical signal processing; geophysical techniques; image classification; image processing; remote sensing; seismology; GIS; damage index; damage information; digital image processing; earthquake; experiential vulnerability matrix; image classification; remote sensing images; seismic damage loss assessment; Application software; Digital images; Earthquakes; Geographic Information Systems; Image classification; Information analysis; Parameter estimation; Production systems; Remote sensing; System software; GIS; earthquake disaster; loss assessment; remote sensing image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423898
Filename :
4423898
Link To Document :
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