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	The infrared and visible image fusion algorithm based on target separation and sparse representation
	Lu Xiaoqi[1]; Zhang Baohua[2]; Zhao Ying[3]; Liu He[4]; Pei Haiquan[5]
刊名	INFRARED PHYSICS & TECHNOLOGY
	2014
卷号	67页码:397-407
关键词	Infrared and visible image Sparse representation Image fusion Kernel Singular Value Decomposition DENCLUE
ISSN号	1350-4495
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2281177
专题	上海大学
作者单位	1.[1]Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China. 2.Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China. 3.[2]Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China. 4.Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China. 5.[3]Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China. 6.[4]Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China. 7.[5]Inner Mongolia Univ Sci & Technol, Sch Informat Engn, Baotou 014010, Peoples R China.
推荐引用方式 GB/T 7714	Lu Xiaoqi[1],Zhang Baohua[2],Zhao Ying[3],et al. The infrared and visible image fusion algorithm based on target separation and sparse representation[J]. INFRARED PHYSICS & TECHNOLOGY,2014,67:397-407.
APA	Lu Xiaoqi[1],Zhang Baohua[2],Zhao Ying[3],Liu He[4],&Pei Haiquan[5].(2014).The infrared and visible image fusion algorithm based on target separation and sparse representation.INFRARED PHYSICS & TECHNOLOGY,67,397-407.
MLA	Lu Xiaoqi[1],et al."The infrared and visible image fusion algorithm based on target separation and sparse representation".INFRARED PHYSICS & TECHNOLOGY 67(2014):397-407.

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