Application of principal component analysis to selection of characteristic wavelengths with total light scattering

TANG Hong; ZHENG Wen-bin; LI Xian-xia

doi:10.3788/OPE.20101808.1691

您当前的位置：

首页 >

文章列表页 >

Application of principal component analysis to selection of characteristic wavelengths with total light scattering

Article | 更新时间：2020-08-12

- Application of principal component analysis to selection of characteristic wavelengths with total light scattering
- Optics and Precision Engineering Vol. 18, Issue 8, Pages: 1691-1698(2010)
- 作者机构：
  
  1. 中国计量学院计量测试工程学院,浙江杭州,310018
  2. 中国计量学院信息工程学院,浙江杭州,310018
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20101808.1691
  CLC： TB92;O436.2
- Received：17 November 2009，
  
  Revised：11 December 2009，
  
  Published Online：20 August 2010，
  
  Published：20 August 2010
- 稿件说明：
移动端阅览
唐红, 郑文斌, 李宪霞. 主成分分析在光全散射特征波长选择中的应用[J]. 光学精密工程, 2010,18(8): 1691-1698

TANG Hong, ZHENG Wen-bin, LI Xian-xia. Application of principal component analysis to selection of characteristic wavelengths with total light scattering[J]. 光学精密工程, 2010,18(8): 1691-1698
唐红, 郑文斌, 李宪霞. 主成分分析在光全散射特征波长选择中的应用[J]. 光学精密工程, 2010,18(8): 1691-1698 DOI： 10.3788/OPE.20101808.1691.

TANG Hong, ZHENG Wen-bin, LI Xian-xia. Application of principal component analysis to selection of characteristic wavelengths with total light scattering[J]. 光学精密工程, 2010,18(8): 1691-1698 DOI： 10.3788/OPE.20101808.1691.

摘要

为了能在用光全散射法测量颗粒粒径时选择对粒径影响较显著的特征波长进行测量

通过在可见及可见-红外波段内对粒径服从单峰R-R分布颗粒系的消光光谱

一阶微分以及二阶微分消光光谱进行主成分变换

提出一种特征波长选择方法。该方法首先对颗粒系的一阶微分消光光谱进行主成分变换

然后将每个波长下的一阶微分消光谱对主成分贡献率的大小作为特征波长选择的主要依据

并将光谱范围的边界波长也作为特征波长。分别对粒径服从单峰及双峰R-R分布的颗粒系进行数值仿真

并采用标准颗粒的实测数据进行验证。验证结果显示

采用基于主成分分析的波长选择方法计算方便、易于实现

得到的标准颗粒粒径反演误差均小于3%

表明采用提出的波长选择方法能够保证选出的光谱消光值具有较高的信息量。

Abstract

To select the characteristic wavelengths which contain important information about particle sizes and refractive indexes in a total light scattering particle sizing method

a wavelength selection method was proposed by performing the Principal Component Analysis(PCA) for the extinction spectra

the first-order differential extinction spectra and the second-order differential extinction spectra of monomodal R-R particle system in visible and visible-infrared regions. This method firstly used the principal component transform to dispose the first-order differential extinction spectra

and then regarded the contribution rate of the principal component to the first-order differential extinction spectra at each wavelength as the mainly criterion to select the characteristic wavelengths. Meanwhile

the boundary wavelengths in the spectral region were also selected as the characteristic wavelengths. The numerical simulations on the monomodal and biomodal R-R distributions were performed

and the experimental data of reference materials were also validated.Experimental results show that the inversion errors of reference materials based on the PCA selection method are less than 3%. It is concluded that the selection method has advantages of convenient computation and easy realization

and can ensure to the extinction values of selected characteristic wavelengths to show the most valuable information about the particle size distribution.

关键词

Keywords

references

王乃宁. 颗粒粒径的光学测量技术及应用[M]. 北京:原子能出版社,2000.

WANG N N. Optic Measurement Technology of Particle Size and Its Application[M]. Beijing: Atomic Energy Press, 2000. (in Chinese)

徐峰, 蔡小舒, 苏明旭,等. 光谱消光法测量高压湿蒸汽的研究[J]. 动力工程,2009,29(3):254-261.

XU F, CAI X SH, SU M X, et al.. Research on the measurement of high pressure wet steam by spectral light extinction method[J]. Journal of Power Engineering, 2009,29(3):254-261. (in Chinese)

孙晓刚, 唐红, 原桂彬. 颗粒系的可见消光光谱分析及最佳波长的选择[J]. 光谱学与光谱分析, 2008,28(9):1968-1973.

SUN X G, TANG H, YUAN G B. Analysis of visible extinction spectrum of particle system and selection of optimal wavelength[J]. Spectroscopy and Spectral Analysis, 2008,28(9):1968-1973. (in Chinese)

刘智深, 丁宁, 赵朝方,等. 主成分分析法在油荧光光谱波段选择中的应用[J]. 地理空间信息, 2009,7(3):12-15.

LIU ZH S, DING N, ZHAO CH F,et al.. Application of the PCA method to band selection for oil fluorescence spectrums[J]. Geospatial Information, 2009,7(3):12-15. (in Chinese)

曹璞, 潘涛, 陈星旦. 小型近红外玉米蛋白质成分分析仪器设计的波段选择[J]. 光学精密工程, 2007,15(12):1952-1958.

CAO P, PAN T, CHEN X D. Choice of wave band in design of minitype near-infrared corn protein content analyzer[J]. Opt. Precision Eng.,2007,15(12):1952-1958. (in Chinese).

许法强, 万晓霞, 朱元泓. 基于旋转主成分分析的颜色组分预测[J]. 光学精密工程, 2008,16(3):518-523.

XU F Q, WAN X X, ZHU Y H. Color component prediction based on rotated principal component analysis[J]. Opt. Precision Eng., 2008,16(3):518-523. (in Chinese)

徐峰, 蔡小舒, 沈建祺. 米氏理论的近似及在粒度测量中的应用[J]. 光学学报, 2003,23(12):1464-1469.

XU F, CAI X SH, SHEN J Q. Geometric approximation of light scattering in arbitrary diffraction regime for absorbing particles: application in laser particle sizing[J]. Acta Optica Sinica, 2003,23(12):1464-1469. (in Chinese).

LEVIN E J T, KREIDENWEIS S M, MCMEEKING G R, et al.. Aerosol physical, chemical and optical properties during the Rocky Mountain Airborne Nitrogen and Sulfur study[J]. Atmospheric Environment,2009,43(11):1932-1939.

MASSOLI P, MURPHY D M, LACK D A, et al.. Uncertainty in light scattering measurements by TSI nephelometer: results from laboratory studies and implications for ambient measurements[J]. Aerosol Science and Technology, 2009,42(11):1064-1074.

杨诸胜, 郭雷, 罗欣,等. 基于分段主成分分析的高光谱图像波段选择算法研究[J]. 测绘工程, 2006,15(3):15-18.

YANG ZH SH, GUO L, LUO X, et al.. Research on segmented PCA based on band selection algorithm of hyperspectral image[J].Engineering of Surveying and Mapping, 2006,15(3):15-18. (in Chinese)

褚小立, 袁洪福, 陆婉珍. 近红外分析中光谱预处理及波长选择方法进展与应用[J]. 化学进展, 2004,16(4):528-542.

CHU X L ,YUAN H F, LU W ZH. Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J]. Progress In Chemistry, 2004,16(4):528-542. (in Chinese)

赵强, 张工力, 陈星旦. 多元散射校正对近红外光谱分析定标模型的影响[J]. 光学精密工程, 2005, 13(1):53-58.

ZHAO Q, ZHANG G L,CHEN X D. Effects of multiplicative scatter correction on acalibration model of near infrared spectral analysis[J]. Opt. Precision Eng., 2005,13(1):53-58. (in Chinese)

Views

650

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Position measurement of linear electric motor rotor based on restoration of motion blur speckle

Design of fuzzy clustering system for FTIR spectroscopy of tea

Detection of salient maps by fusion of contrast and distribution

PCA-SC Shape Matching for Object Recognition

Measurement of particles by optical fiber coupling

Related Author

Shao-kun DOU

Jing ZHAO

Jun-cai SONG

Hui WANG

Ji-wen ZHAO

JIA Hong-wen

WU Xiao-hong

WU Bin

Related Institution

School of Electrical Engineering and Automation, Anhui University

Department of Information Engineering, Chuzhou Vocational Technology College

Jingjiang College, Jiangsu University

School of Electrical and Information Engineering, Jiangsu University

Department of Physics & Electronic Engineering, Nanyang Normal University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰