{"title":"Buildings damage due to the 2013 Haiyan Typhoon inferred from SAR intensity images","authors":"B. Adriano, E. Mas, S. Koshimura","doi":"10.1109/APSAR.2015.7306294","DOIUrl":null,"url":null,"abstract":"In this study, a practical methodology is presented to classify and map damaged buildings, following the 2013 Super Typhoon Haiyan, using high resolution synthetic aperture radar (SAR) images and post-event building damage data from Tacloban city, The Philippines. Considering the relationship of the radar layover extension between damaged and non-damaged structures, the method focuses on the changes in the building radar signature between pre- and post-event SAR scenes. In addition, the method introduces a new change factor for change detection analysis. The method was developed and tested using a 1.0 m resolution COSMO-SkyMed SAR images taken over Tacloban city, the Philippines. The method proves, with 76% accuracy in this case, to be suitable for estimating destroyed buildings.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR.2015.7306294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this study, a practical methodology is presented to classify and map damaged buildings, following the 2013 Super Typhoon Haiyan, using high resolution synthetic aperture radar (SAR) images and post-event building damage data from Tacloban city, The Philippines. Considering the relationship of the radar layover extension between damaged and non-damaged structures, the method focuses on the changes in the building radar signature between pre- and post-event SAR scenes. In addition, the method introduces a new change factor for change detection analysis. The method was developed and tested using a 1.0 m resolution COSMO-SkyMed SAR images taken over Tacloban city, the Philippines. The method proves, with 76% accuracy in this case, to be suitable for estimating destroyed buildings.
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