气候变化领域集成服务门户(CCPortal): Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis

CCPortal

DOI	10.1007/s11069-020-03991-0
	Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis
	Hajeb M.; Karimzadeh S.; Fallahi A.
发表日期	2020
ISSN	0921030X
起始页码	347
结束页码	366
卷号	103 期号:1
英文摘要	The synthetic aperture radar SAR system with the capability of imaging during the night, day, and the all-weather conditions has a high potential in change detection on the ground surface. In this research, we used three SAR images of ALOS-2 satellite over Sarpole-Zahab town in the west of Iran that had an earthquake with the magnitude of 7.3 on November 12, 2017. The effects of speckle noise on the accuracy of the results were assessed based on noise reduction filters. Correlation coefficient, difference of intensity (in five window sizes), and difference of coherence and texture (in six window sizes) of the pre- and post-event images were calculated, and the output parameters were extracted. Then, the damage assessment was carried out based on four machine learning classifiers, containing the random forest (RDF), the support vector machine, the naive Bayes classifier, and K-nearest neighbor. The RDF showed an overall accuracy of 86.3%. Seventy percent of the dataset was used for training, and 30% of it was used for the prediction purpose (~ 300 buildings). Based on the training dataset, the total number of structures in the study area was predicted (approximately 9200 buildings). Finally, a discriminant analysis was carried out among the damaged and undamaged buildings. © 2020, Springer Nature B.V.
关键词	Machine learning Remote sensing Sarpole-Zahab Synthetic aperture radar Texture analysis
英文关键词	assessment method; earthquake damage; earthquake magnitude; image analysis; seismic hazard; structural response; synthetic aperture radar; texture; Iran
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205715
作者单位	Department of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran; Department of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran; Institute of Environment, University of Tabriz, Tabriz, Iran
推荐引用方式 GB/T 7714	Hajeb M.,Karimzadeh S.,Fallahi A.. Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis[J],2020,103(1).
APA	Hajeb M.,Karimzadeh S.,&Fallahi A..(2020).Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis.Natural Hazards,103(1).
MLA	Hajeb M.,et al."Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis".Natural Hazards 103.1(2020).