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	Multitemporal change detection by spectral and multivariate texture information
	Li, Peijun ; Cheng, Tao ; Moser, Gabriele ; Serpico, Sebastiano B. ; Ma, Defeng
	2007
关键词	multivariate texture pseudo cross variogram change detection multitemporal data VARIOGRAM IMAGE
英文摘要	Most existing multitemporal change detection methods use the spectral information alone. However, the inclusion of spatial and temporal information in change detection could improve the accuracy of change detection. This study,proposes a new method which includes the multivariate texture in change detection by the direct multitemporal classification. The multivariate texture was extracted from two multispectral images, by the Pseudo Cross Multivariate Variogram (PCMV), which is an extension of the traditional Pseudo Cross Variogram (PCV). The experiments showed that the inclusion of multivariate texture could significantly improve the overall accuracy of change detection, compared to that of using the spectral information alone.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000256657302045&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary; Remote Sensing; EI; CPCI-S(ISTP); 1
语种	英语
DOI标识	10.1109/IGARSS.2007.4423202
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/156219]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Li, Peijun,Cheng, Tao,Moser, Gabriele,et al. Multitemporal change detection by spectral and multivariate texture information. 2007-01-01.

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