QQ客服 官方微博 反馈留言

	Blind separation of component information from mixed pixels in hyperspectral imagery
	Tao Xin ; Fan Wenjie ; Xu Xiru
	2007
关键词	blind signal separation (BSS) Independent Component mixed pixel hyperspectral
英文摘要	Mixed pixel separation has always been a hotspot issue of quantitative remote sensing and is especially important for hyperspectral imagery. A new method based on independent component analysis is proposed in this paper to blind separate component information including the signature and the weight from the spectrum of mixed pixels. The extra information is obtained from the statistical characters of the signatures. To evaluate the performance of the algorithm some computer numerical simulations are conducted and a method to choose a best band coverage of the spectrum using for blind signal separation is proposed. Finally the algorithm is applied on the HYPERION imagery of Henshan, Shanxi Provience and the result showed that the method is effective.; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary; Remote Sensing; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/312024]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Tao Xin,Fan Wenjie,Xu Xiru. Blind separation of component information from mixed pixels in hyperspectral imagery. 2007-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。