In order to classify the edible oil and the waste cooking oil by using their difference in spectral characteristics, the authors employed 22 samples collected from the mixture of two kinds of waste oil and four sorts of edible oil to analyze the possibility of distinguishing these two kinds of oil by clustering their hyperspectral digital number. Spectral data which lies in the range of 350~2 500 nm were utilized in this paper for clustering analysis. Digital number of hyperspectral data, first order derivation and second order derivation of the reflective data were used as the spectral information for the target. Correlation distance, Euclidean distance,standardized Euclidean distance and Minkowski distance method were used to calculate the distance between the spectral objects in the data matrix. And then, eight different kinds of distance method were employed to compute the clustering tree, which accurately classified these oils into twenty-two types. Numerical experiments demonstrate that un-weighted distance method and interior square sum distance could be utilized in the correlation clustering analysis to accurately distinguish different kinds of oils in the sample and to classify these oils into 22 types accurately.
[1] 潘剑宇, 尹平河, 余汉豪, 等.潲水油、煎炸老油与合格食用植物油的鉴别研究[J].食品科学, 2003, 24(8):27-29. Pan J Y, Yin P H, Yu H H, et al.Diagnostic physical and chemical target on distinguishing hogwash fat form good edible vegetable oils[J].Food Science, 2003, 24(8):27-29.[2] 马翠红, 刘立业.基于小波分析的光谱数据处理[J].冶金分析, 2012, 32(1):34-37. Ma C H, Liu L Y.Spectral data processing based on wavelet analysis[J].Metallurgical Analysis, 2012, 32(1):34-37.[3] 沈掌泉, 王珂, 王人潮.水稻光谱数据处理系统[J].浙江大学学报:农业与生命科学, 1998, 24(1):49-50. Sheng Z Q, Wang K, Wang R C.Study on rice spectral data processing system[J].Journal of Zhejiang Agricultural University, 1998, 24(1):49-50.[4] 沈掌泉, 王人潮.连续型光谱数据的处理及信息提取试验[J].浙江农业大学学报, 1993, 19(s1):85-90. Sheng Z Q, Wang R C.Study on the procession and information collection of continuous spectral data[J].Journal of Zhejiang Agricultural University, 1993, 19(s1):85-90.[5] 谢红接, 李剑锋, 刘德长, 等.高光谱数据处理及其在广西苗儿山地区的地质应用研究[J].铀矿地质, 1999, 15(1):47-54. Xie H J, Li J F, Liu D C, et al.Hyperspectral data processing and research on geological application in miaoershan district, Guangxi Province[J].Uranium Geology, 1999, 15(1):47-54.[6] 周竹, 李小昱, 高海龙, 等.马铃薯干物质含量高光谱检测中变量选择方法比较[J].农业机械学报, 2012, 43(2):128-133, 138. Zhou Z, Li X Y, Gao H L, et al.Comparison of different variable selection methods on potato dry matter detection by hyperspectral imaging technology[J].Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(2):128-133, 138.[7] 包丽丽, 齐小花, 张孝芳, 等.几种常用油品拉曼光谱的检测及分析[J].光谱学与光谱分析, 2012, 32(2):394-397. Bao L L, Qi X H, Zhang X F, et al.Detection and analysis of several kinds of oils with Raman spectrum[J].Spectroscopy and Spectral Analysis, 2012, 32(2):394-397.[8] 柳萍萍, 林辉, 孙华, 等.高光谱数据的降维处理方法研究[J].中南林业科技大学学报, 2011, 31(11):34-38. Liu P P, Lin H, Sun H, et al.Dimensionality reduction method of hyperion EO-1 data[J].Journal of Central South University of Forestry and Technology, 2011, 31(11):34-38.[9] 李刚, 熊婵, 李家星, 等.高光谱检测复杂混合溶液的Monte Carlo仿真研究[J].光谱学与光谱分析, 2011, 31(11):3014-3017. Li G, Xiong C, Li J X, et al.Monte Carlo simulation of complex mixed[J].Spectroscopy and Spectral Analysis, 2011, 31(11):3014-3017.[10] 李颖, 刘丙新, 陈澎.高光谱遥感技术在水上溢油监测中的研究进展[J].海洋环境科学, 2012, 31(3):460-464. Li Y, Liu B X, Chen P.Study advancement in oil spill monitoring using hyper-spectral remote sensing[J].Marine Environmental Science, 2012, 31(3):460-464.[11] 吕萍, 薛龙, 何秀文, 等.生姜水分含量的可见-近红外光谱检测[J].江西农业大学学报, 2011, 33(3):602-607. Lü P, Xue L, He X W, et al.Prediction of ginger moisture content using visual near-infrared spectroscopy[J].Acta Agriculturae Universitatis Jiangxiensis, 2011, 33(3):602-607.[12] 刘薇, 尹平河, 赵玲.荧光法测定十二烷基苯磺酸钠鉴别潲水油的研究[J].中国油脂, 2005, 30(5):24-26. Liu W, Yin P H, Zhao L.Distinguishing hogwash fat by determination of sodium dodecylbenzene sulfonate with fluorerscence spectrum analysis[J].China Oils and Fats, 2005, 30(5):24-26.[13] 王耀, 尹平河, 梁芳慧, 等.紫外可见分光光度法鉴别掺兑潲水油的花生油[J].分析实验室, 2006, 25(3):92-94. Wang Y, Yin P H, Liang F H, et al.Distinguishing hogwash oil from peanut oil by ultraviolet-visible spectrophotometry[J].Chinese Journal of Analysis Laboratory, 2006, 25(3):92-94.[14] 刘福莉, 陈华才, 姜礼义, 等.近红外透射光谱聚类分析快速鉴 别食用油种类[J].中国计量学院学报, 2008, 19(3):279-282. Liu F L, Chen H C, Jiang L Y, et al.Rapid discrimination of edible oil by near infrared transmission spectroscopy using clustering analysis[J].Journal of China Jiliang University, 2008, 19(3):279-282.[15] 黄伟, 郑建军, 徐建华.地沟油的安全快速检测研究[J].山东科技大学学报:自然科学版, 2010, 29(3):51-53. Huang W, Zheng J J, Xu J H.Study on safe and rapid detection of discard-oil[J].Journal of Shandong University of Science and Technology:Natural Science, 2010, 29(3):51-53.[16] 韩瑞梅, 杨敏华.一种改进的高光谱遥感数据波段选择方法的研究[J].测绘与空间地理信息, 2010, 33(3):137-139. Han R M, Yang M H.Study on an improved method of band selection of hyperspectral remote sensing data[J].Geomatics and Spatial Information Technology, 2010, 33(3):137-139.
2014, Vol. 26 
