[1]ZHANG Ying,GUO Hongmei,YIN Wengang,et al.Detection Method of Earthquake Disaster Image Anomaly Based on SIFT Feature and SVM Classification[J].Journal of Seismological Research,2019,42(02):265-272.
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Detection Method of Earthquake Disaster Image Anomaly Based on SIFT Feature and SVM Classification
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
42
Number of periods:
2019 02
Page number:
265-272
Column:
Public date:
2019-07-17
- Title:
- Detection Method of Earthquake Disaster Image Anomaly Based on SIFT Feature and SVM Classification
- Keywords:
- earthquake disaster image information; anomaly detection; SIFT; SVM; Lushan M7.0 earthquake as an example. The results show that the algorithm model has better detection effect on image information anomaly; it can further supply and improve the disaster in
- CLC:
- P315.941
- DOI:
- -
- Abstract:
- Through analyzing the image information obtained after the earthquake,we found that some of the information does not match the time of the earthquake,does not belong to the earthquake influence field or has nothing to do with the earthquake disaster. In this paper,we applied the image classification algorithm to the detection of post-earthquake disaster image information anomaly,and proposed an earthquake disaster image information anomaly detection model based on SIFT feature and SVM classification,and verified the model by taking the damage image of the Lushan M7.0 earthquake as an example. The results show that the algorithm model has better detection effect on image information anomaly,it can further supply and improve the disaster information source for earthquake emergency rescue,and provide disaster information support for the government's scientific decision-making for earthquake relief. Key words:earthquake disaster image information; anomaly detection; SIFT; SVM; Lushan M7.0 earthquake as an example. The results show that the algorithm model has better detection effect on image information anomaly,it can further supply and improve the disaster information source for earthquake emergency rescue,and provide disaster information support for the government's scientific decision-making for earthquake relief.
- References:
- -
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Last Update:
2019-07-17