[1]DONG Yan-sheng,PAN Yao-zhong,FANG Wei-hua,et al.Recognition of the Earthquake-damaged Buildings Based on Object-oriented Technology[J].Journal of Seismological Research,2011,34(03):0-.
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
34
Number of periods:
2011 03
Page number:
0-
Column:
Public date:
2011-09-28
- Title:
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Recognition of the Earthquake-damaged Buildings Based on Object-oriented Technology
- Author(s):
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DONG Yan-sheng1; 2; PAN Yao-zhong1; 3; FANG Wei-hua3; YU De-yong3; HE Hao1; 3
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(1.College of Resources Science & Technology,Beijing Normal Vniversity,Beijing 100875,China)(2.Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China)(3. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)
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- Keywords:
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building damage; high-resolution satellite remote sensing; object-based classification; geo-statistical texture; Haiti earthquake
- CLC:
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P315.9
- DOI:
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- Abstract:
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An M 7.3 strong earthquake occurred in Port-au-Prince,Haiti on Jan. 12, 2010 has destroyed a large number of buildings.From the post-earthquake very high resolution remote sensing image, we can find there are a lot of rubbles around collapsed and partly damaged buildings. Therefore, we take these rubbles as seismic-damage characteristics of the collapsed buildings and use the following three methods—pixel-based method, object-oriented method and object-oriented method combined with geo-statistical texture to extract rubbles automatically. Finally, we assess the accuracy of the three classifications of the remotely-sensed data through the three methods. It turns out that the accuracy of pixel-based method is less than that of object-oriented method. The overall Kappa coefficient and user's precision of rubbles have improved remarkably when adding texture feature. However, there is no obvious improvement of the producer precision of the rubbles.