[1]YANG Yurong,ZHANG Shilian,TIE Zhongyong,et al.Analysis of Remote Sensing Monitoring Methods for Postseismic Damage Level of Buildings[J].Journal of Seismological Research,2018,41(04):630-636.
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Analysis of Remote Sensing Monitoring Methods for Postseismic Damage Level of Buildings
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
41
Number of periods:
2018 04
Page number:
630-636
Column:
Public date:
2018-10-20
- Title:
- Analysis of Remote Sensing Monitoring Methods for Postseismic Damage Level of Buildings
- Keywords:
- post-earthquake buildings; level of damage; multispectral remote sensing images; texture features; support vector machine
- CLC:
- TP79
- DOI:
- -
- Abstract:
- The traditional Fisher-SVM remote sensing method for post-earthquake buildings damage degree monitoring does not consider the constraints of the optimal classification hyperplane. And the accuracy of the obtained classification results is low,the post-earthquake monitoring of buildings is inaccurate,therefore,we proposed an object-oriented post-earthquake remote sensing monitoring method for disaster severity of buildings. First,the basic principle of this method is as follows:it uses object-oriented multispectral remote sensing image segmentation method to obtain post-earthquake building segmentation objects. Second,it analyzes the distributing disciplinarian of three parameters(contrast,dissimilarity,and variance)in pre-and post-earthquake buildings to extract the texture features of the segmented objects after earthquake. Finally,it learns to classify by inputting the texture features of the post-earthquake building segmentation image into support vector machine,then through training,output the best classification results of texture feature to achieve the remote sensing detection for damage degree of building after earthquake. This method is used to analyze the disaster situation of buildings in 2010 Qinghai Yushu M7.1 earthquake. The results of the experiment confirm that the proposed method can effectively achieve the remote sensing monitoring for damage degree of building after an earthquake.
- References:
- -
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Last Update:
2018-10-30