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	AUTOMATIC BUILDING EXTRACTION FROM VERY HIGH RESOLUTION SATELLITE IMAGERY USING LINE SEGMENT DETECTOR
	Wang, Jun ; Qin, Qiming ; Chen, Li ; Ye, Xin ; Qin, Xuebin ; Wang, Jianhua ; Chen, Chao
	2013
关键词	Very high resolution Line Segment Detector Perceptual grouping Building extraction AERIAL IMAGERY
英文摘要	This paper presents an automatic procedure for rapid building extraction from optical very high resolution (VHR) satellite imagery. Classical extraction models are always complex and time-consuming. The optimized process of building extraction consists of three main rapid stages: edge-preserving and smoothing bilateral filter, line segment detection, perceptual grouping polygonal building boundary. Firstly, we use bilateral filter to smooth original image with edge-preserving. Secondly, a state-of-the-art line segment detector (LSD) algorithm gives highly accurate building contour segments. Finally, we apply the perceptual grouping approach based on graph search to organize detected contour line segments of interested buildings. We test our method on optical VHR QuickBird satellite imagery and obtain promising experimental results with overall accuracy of 79.1%, which confirm the effectiveness and robustness of this linear-time procedure.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000345638900051&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary; Remote Sensing; EI; CPCI-S(ISTP); 3
语种	英语
DOI标识	10.1109/IGARSS.2013.6721129
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/311858]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Wang, Jun,Qin, Qiming,Chen, Li,et al. AUTOMATIC BUILDING EXTRACTION FROM VERY HIGH RESOLUTION SATELLITE IMAGERY USING LINE SEGMENT DETECTOR. 2013-01-01.

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