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	A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses
	Beykaei, Seyed Ahad*; Zhong, Ming; Shiravi, Sajad; Zhang, Yun
刊名	Transportation Research Part C: Emerging Technologies
	2014
卷号	47期号:P2页码:155-167
关键词	BLM binary logistic model CA census agglomeration CBD central business district CSD census subdivision DB dissemination block DPM Digital Property Map FAR floorspace area ratio GIS geographic information system LIDAR light detection and ranging LUEES Land Use Extraction Expert System non-Res non-residential class Res residential class RGB Red–Green–Blue ULM urban landscape model VHR very high resolution Land use extraction Morphological analysis Spatial arrangement analysis Remote sensing
ISSN号	0968-090X
DOI	10.1016/j.trc.2014.06.012
URL标识	查看原文
WOS记录号	WOS:000345481400012;EI:20144500154187
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3383794
专题	武汉理工大学
作者单位	[Beykaei, Seyed Ahad] Univ Toronto, Dept Civil Engn, IBM Res & Dev Ctr, IBM Canada, Markham, ON, Canada.
推荐引用方式 GB/T 7714	Beykaei, Seyed Ahad*,Zhong, Ming,Shiravi, Sajad,et al. A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses[J]. Transportation Research Part C: Emerging Technologies,2014,47(P2):155-167.
APA	Beykaei, Seyed Ahad*,Zhong, Ming,Shiravi, Sajad,&Zhang, Yun.(2014).A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses.Transportation Research Part C: Emerging Technologies,47(P2),155-167.
MLA	Beykaei, Seyed Ahad*,et al."A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses".Transportation Research Part C: Emerging Technologies 47.P2(2014):155-167.

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