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	BUILDING DAMAGE DETECTION FROM POST-QUAKE REMOTE SENSING IMAGE BASED ON FUZZY REASONING
	Ye, Xin ; Qin, Qiming ; Liu, Mingchao ; Wang, Jun ; Wang, Jianhua
	2014
关键词	Damage Detection Collapsed Building Earthquake Remote Sensing Fuzzy Reasoning COLLAPSED BUILDINGS EARTHQUAKE
英文摘要	The paper presents an approach for building damage detection from high resolution remote sensing image using multi-feature analysis and the fuzzy reasoning procedure. The selected area of our study is in Yushu, which was strongly hit by 7.1-magnitude earthquake. The study area contains 101 buildings, of which 46 are collapsed and 55 are un-collapsed. First, the buildings were selected one-by-one from the GIS data and remote sensing image. Second, three categories of features were analyzed to describe the differences between the collapsed buildings and uncollapsed ones, including spectral feature, texture feature and gradient feature. Last, a final decision was made through considering the variety of feature parameters utilizing fuzzy reasoning. The overall accuracy of building damage detection was 91.09%, of the total 46 collapsed buildings, 42 were detected correctly by the proposed approach, giving 91.30% producer's accuracy.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000349688101001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary; Remote Sensing; EI; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/311800]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Ye, Xin,Qin, Qiming,Liu, Mingchao,et al. BUILDING DAMAGE DETECTION FROM POST-QUAKE REMOTE SENSING IMAGE BASED ON FUZZY REASONING. 2014-01-01.

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