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The characterization of plant species using first-derivative fluorescence spectra
Yang, Jian1; Shi, Shuo1,2; Gong, Wei1,2; Du, Lin1,3; Sun, Jia1; Song, Shalei4
2017-05-01
Source PublicationLUMINESCENCE
Volume32Issue:3Pages:348-352
SubtypeArticle
AbstractPlants are one of the most important parts of the ecological system and demand a reliable method for accurate classification. In this study, the first-derivative fluorescence spectral curves (FDFSCs) based on laser-induced fluorescence technology were proposed for the characterization of plant species. The measurement system is mainly composed of a spectrometer, an excitation light source (the two excitation wavelengths are 460 and 556nm, respectively), and an intensified charge-coupled device camera. FDFSCs were calculated from the deviation between the fluorescence values at each wavelength, plus and minus one band, divided by the wavelength range. Principal component analysis was utilized to analyze the FDFSCs by extracting the main attributes and reducing the dimensionality of variables. A support vector machine was used to evaluate FDFSC performance for the identification of plant species. Plant species that are difficult to distinguished by the naked eye, can be identified effectively using the proposed FDFSCs. For the 556nm and 460nm excitation wavelengths, the overall identification rates of the six plant species evaluated were 93.3% and 91.7%, respectively. Experimental results demonstrated that the combination of the FDFSCs with multivariate analysis could provide a simple and reliable method for the characterization of plant species.
KeywordClassification First-derivative Laser-induced Fluorescence Multivariate Analysis
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Funding OrganizationNational Natural Science Foundation of China(41571370 ; National Natural Science Foundation of China(41571370 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41127901) ; 41127901) ; National Natural Science Foundation of China(41571370 ; National Natural Science Foundation of China(41571370 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41127901) ; 41127901)
DOI10.1002/bio.3185
WOS KeywordLASER-INDUCED FLUORESCENCE ; CHLOROPHYLL FLUORESCENCE ; GREEN PLANTS ; VEGETATION ; LIDAR ; IDENTIFICATION ; NITROGEN ; LEAVES ; LEAF ; CLASSIFICATION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(41571370 ; National Natural Science Foundation of China(41571370 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41127901) ; 41127901) ; National Natural Science Foundation of China(41571370 ; National Natural Science Foundation of China(41571370 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41127901) ; 41127901)
WOS Research AreaBiochemistry & Molecular Biology
WOS SubjectBiochemistry & Molecular Biology
WOS IDWOS:000398842500013
Citation statistics
Document Type期刊论文
Identifierhttp://ir.wipm.ac.cn/handle/112942/11295
Collection高技术创新与发展中心
Affiliation1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
2.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China
3.Wuhan Univ, Sch Phys & Technol, Wuhan 430072, Hubei, Peoples R China
4.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Yang, Jian,Shi, Shuo,Gong, Wei,et al. The characterization of plant species using first-derivative fluorescence spectra[J]. LUMINESCENCE,2017,32(3):348-352.
APA Yang, Jian,Shi, Shuo,Gong, Wei,Du, Lin,Sun, Jia,&Song, Shalei.(2017).The characterization of plant species using first-derivative fluorescence spectra.LUMINESCENCE,32(3),348-352.
MLA Yang, Jian,et al."The characterization of plant species using first-derivative fluorescence spectra".LUMINESCENCE 32.3(2017):348-352.
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