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	Quantitative detection of turbid media components using textural features extracted from hyperspectral images.
	Zhao, Z.a,b; Yan, W.a; Yin, H.a; Batool, A.d; Wang, H.b,d; Yu, H.c
刊名	Microchemical Journal
	2019
卷号	Vol.149页码:104009
关键词	Component detection Heteromorphic sample pool Hyperspectral imaging Textural features Turbid media
ISSN号	0026-265X
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/2890916
专题	天津大学
作者单位	1.aSchool of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, 300387, China 2.bTianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, 300387, China 3.cTianjin Key Laboratory of Biomedical Engineering, Tianjin University, Tianjin, 300072, China 4.dSchool of Life Sciences, Tianjin Polytechnic University, Tianjin, 300387, China
推荐引用方式 GB/T 7714	Zhao, Z.a,b,Yan, W.a,Yin, H.a,et al. Quantitative detection of turbid media components using textural features extracted from hyperspectral images.[J]. Microchemical Journal,2019,Vol.149:104009.
APA	Zhao, Z.a,b,Yan, W.a,Yin, H.a,Batool, A.d,Wang, H.b,d,&Yu, H.c.(2019).Quantitative detection of turbid media components using textural features extracted from hyperspectral images..Microchemical Journal,Vol.149,104009.
MLA	Zhao, Z.a,b,et al."Quantitative detection of turbid media components using textural features extracted from hyperspectral images.".Microchemical Journal Vol.149(2019):104009.

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