[1]LI Qiang,ZHANG Jingfa.Research on Earthquake Damaged Building Extraction by Different Features Fusion[J].Journal of Seismological Research,2016,39(03):486-493.
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
39
Number of periods:
2016 03
Page number:
486-493
Column:
Public date:
2016-07-23
- Title:
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Research on Earthquake Damaged Building Extraction by Different Features Fusion
- Author(s):
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LI Qiang1; 2; ZHANG Jingfa2
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(1. Institute of Engineering Mechanics, CEA, Harbin 1500801, Heilongjiang, China)(2.Institute of Crustal Dynamics, CEA, Beijing 100085, China)
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- Keywords:
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remote sensing image; multi-feature fusion; texture feature; damaged buildings
- CLC:
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P315-39
- DOI:
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- Abstract:
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Firstly, using QuickBird image of Yushu Earthquake, we extracted characteristic parameters which have better discrimination in the gray level co-occurrence matrix(GLCM)characterized by texture features in different damage situation through sampling and analysis of buildings in different damage level. And then on the basis of it, we compared the extraction accuracy of damaged buildings by using the different features merged. The results show that the texture features parameters in GLCM have different distinguish on the buildings in different damage degree. Combined the spectral feature with texture feature, the identification precision of the damaged building is highest, however, the confusion of different characteristic parameters may lead to redundant information, resulting in reducing the accuracy of the extracted information. In practice working, based on remote sensing mechanism of damage, we should select the appropriate feature combination to improve the extraction accuracy of damaged buildings.