电可调滤光器光谱图像特征波长的提取方法

汪希伟,赵茂程,居荣华

南京林业大学学报(自然科学版) ›› 2014, Vol. 38 ›› Issue (02) : 137-140.

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南京林业大学学报(自然科学版) ›› 2014, Vol. 38 ›› Issue (02) : 137-140. DOI: 10.3969/j.issn.1000-2006.2014.02.026
研究论文

电可调滤光器光谱图像特征波长的提取方法

  • 汪希伟1, 赵茂程1*,居荣华2
作者信息 +

Extraction of the characteristic wavelengths of the spectral images acquired by electronically tunable filters

  • WANG Xiwei1, ZHAO Maocheng1*, JU Ronghua2
Author information +
文章历史 +

摘要

根据电可调滤光器光谱特性,以偏最小二乘回归建模为基础,提出了使用波长贡献度初选后进行全组合特征波长提取的方法,并利用基于声光可调滤光器所采集的猪肉光谱图像及其所对应的挥发性盐基氮含量化学指标,对该特征光谱提取方法的性能进行测试验证。结果表明,该算法能够有效确定由电可调滤光器获取的光谱图像的特征波长。

Abstract

An algorithm was proposed for the characteristic of the important wavelengths of the spectral images acquired by electronically tunable filters. The optimal wavelengths are determined by electing the candidates according to the wavelength-specific contributions based on a valid PLSR model firstly, and then followed by an exhaustive analysis of the combinations of the candidate wavelengths. The performance of the algorithm was tested using the spectral images of fresh pork acquired by an acousto-optical tunable filter-based spectral imager and the corresponding chemical indices of total volatile basic nitrogen. The results showed that the proposed algorithm could determine effectively the characteristic wavelengths of the spectral images acquired by electronically tunable filters.

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导出引用
汪希伟,赵茂程,居荣华. 电可调滤光器光谱图像特征波长的提取方法[J]. 南京林业大学学报(自然科学版). 2014, 38(02): 137-140 https://doi.org/10.3969/j.issn.1000-2006.2014.02.026
WANG Xiwei, ZHAO Maocheng, JU Ronghua. Extraction of the characteristic wavelengths of the spectral images acquired by electronically tunable filters[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2014, 38(02): 137-140 https://doi.org/10.3969/j.issn.1000-2006.2014.02.026
中图分类号: O657   

参考文献

[1] 夏双, 阮任宗, 颜梅春. 基于TM影像的水体信息提取方法研究[J]. 南京林业大学学报:自然科学版,2012,36(4): 29-35. Xia S, Ruan R Z, Yan M C. Study on information extraction method of water body based on TM imagery[J]. Journal of Nanjing Forestry University:Natural Sciences Edition, 2012, 36(4): 29-35.
[2] 周焱, 傅丽娜, 阮宏华, 等. 武夷山不同海拔土壤水溶性有机物的紫外-可见光谱特征[J]. 南京林业大学学报:自然科学版,2008,32(4):23-27. Zhou Y, Fu L N, Ruan H H, et al. Ultraviolet-visible spectroscopic characteristics of soil water-soluble organic matter with an elevation gradient in Wuyi Mountain[J]. Journal of Nanjing Forestry University:Natural Sciences Edition, 2008, 32(4):23-27.
[3] 张黎宁,周宇. SPOT5全色与多光谱图像融合方法研究[J]. 南京林业大学学报:自然科学版,2007,31(4):89-92. Zhang L N, Zhou Y. Research on Fusion approaches of SPOT5 and multi-spectral images[J]. Journal of Nanjing Forestry University:Natural Sciences Edition, 2007, 31(4):89-92.
[4] Wu D,Sun D W. Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: a review—part II: applications[J]. Innovative Food Science & Emerging Technologies, 2013, 19: 1-14.
[5] Wang X, Zhao M, Ju R,et al. Visualizing quantitatively the freshness of pork using acousto-optical tunable filter-based visible/near-infrared spectral imagery[J]. Computers and Electronics in Agriculture, 2013, 99: 41-53.
[6] Park B, Windham W R, Lawrence K C, et al. Contaminant classification of poultry hyperspectral imagery using a spectral angle mapper algorithm[J]. Biosystems Engineering, 2007, 96(3):323-333.
[7] Nanyam Y. Hyperspectral imaging for nondestructive measurement of food quality[D]. Carbondale:Southern Illinois University Carbondale, 2010.
[8] Andersen C M, Bro R. Variable selection in regression—a tutorial[J]. Journal of Chemometrics, 2010, 24(11-12): 728-737.
[9] 中华人民共和国卫生部.GB/T 5009.44—2003 肉与肉制品卫生标准的分析方法[S]北京:中国标准出版社,2003.
[10] Brimrose. Manual of AOTF video adapter[EB/CD]
[2013-04-10].http://www.brimrose.com/products/aotf_hyperspectral.html.2008.
[11] 宋青华.基于特征波长提取的猪肉新鲜度检测研究[D]. 南京:南京林业大学,2012. Song Q H. Pork freshness detection based on the characteristic wavelength extraction of hyperspectral image[D]. Nanjing:Nanjing Forestry University, 2012.
[12] Tang X Y, Li C L, Peng Y K, et al. Nondestructive prediction of pork freshness parameters using multispectral scattering images[C]//SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2012.
[13] 张雷蕾,李永玉,彭彦昆,等.基于高光谱成像技术的猪肉新鲜度评价[J].农业工程学报, 2012, 28(7):254-259. Zhang L L, Li Y Y, Peng Y K, et al. Determination of pork freshness attributes by hyperspectral imaging technique[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(7):254-259.
[14] 文星, 梁志宏, 张根伟, 等. 基于稳态空间分辨光谱的猪肉新鲜度检测方法[J]. 农业工程学报,2010, 26(9):334-339. Wen X, Liang Z H, Zhang G W, et al. Measurement of pork freshness by steady spatially-resolved spectroscopy[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(9):334-339.
[15] 侯瑞锋, 黄岚, 王忠义, 等.用近红外漫反射光谱检测肉品新鲜度的初步研究[J].光谱学与光谱分析,2006, 26(12):2193-2196. Hou R F, Huang L, Wang Z Y, et al. Preliminary study for testing freshness of meat by using near-infrared reflectance spectroscopy[J]. Spectroscopy and Spectral Analysis, 2006, 26(12):2193-2196.
[16] 蔡健荣,万新民,陈全胜. 近红外光谱法快速检测猪肉中挥发性盐基氮的含量[J].光学学报,2009,29(10):2805-2811. Cai J R, Wan X M, Chen Q S. Feasibility study for the use of near-infrared spectroscopy in the quantitative analysis of TVB-N content in pork[J]. Acta Optica Sinica, 2009, 29(10):2808-2812.

基金

收稿日期:2013-04-15 修回日期:2013-08-18
基金项目:江苏省科技支撑计划(BE2011396); 高等学校博士学科点科研基金资助项目(20103204110006); 江苏省研究生创新工程项目(2011039)
第一作者:汪希伟,博士生。*通信作者:赵茂程,教授。E-mail: mczhao@njfu.edu.cn。
引文格式:汪希伟,赵茂程,居荣华. 电可调滤光器光谱图像特征波长的提取方法[J]. 南京林业大学学报:自然科学版,2014,38(2):1

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