1. The State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Using a self-developed field imaging spectrometer system (FISS), hyperspectral images of 14 typical kinds of milk were acquired, based on which the discrimination of varieties of milk was studied. Firstly, removing 2 abnormal samples, the remaining 12 kinds of milk were randomly sampled, a total of 1 200 pixel samples. To eliminating high-frequency random noises and baseline offset and decrease the multi-collinearity, all samples were preprocessed by smooth-moving average and first derivative. Secondly, multiple discriminant analysis models for milk were built using characteristic wavelengths selected by the stepwise method. Results demonstrated that the overall identification accuracy for 1 200 spectral samples put together reached 95.5%, of which the overall distinguishing rate of Mengniu, Yili and Guangming acidophilous milk was 88.3%. The discriminant models for the three kinds of acidophilous milk subset, 300 spectral samples in all, were built, with the overall distinguishing rate of 88.7%. This explicated that FISS would be useful for discriminating milk varieties, and to accomplish specific discrimination of milk varieties, it would be best for milk of the same type from different manufacturers to form a subset, which may not only reduce the model variables, improving operational efficiency and the stability of the model, but improve their overall discriminant accuracy.
[1] YUAN Shi-lin, HE Yong, MA Tian-yun, et al(袁石林, 何 勇, 马天云, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2009, 29(11): 2939. [2] WANG You-jun, ZHU Da-zhou, TU Zhen-hua, et al(王右军,朱大洲,屠振华,等). Food Science(食品科学), 2009, 30(6): 135. [3] LI Qing-bo, WANG Yan, XU Ke-xin(李庆波,汪 嚥,徐可欣). Food Science(食品科学), 2002, 23(6): 121. [4] WANG Li-jie, GUO Jian-ying, XU Ke-xin(王丽杰,郭建英,徐可欣). Journal of Harbin Univ. & Tech.(哈尔滨理工大学学报), 2004, 9(5): 36. [5] LI Min-zan(李民赞). Spectral Analysis Technology and Its Application(光谱分析技术及其应用). Beijing: Science Press(北京: 科学出版社), 2006. [6] WANG Shuo, XU Ke-xin(王 硕,徐可欣). Infrared(红外), 2006, 27(11): 27. [7] He Y, Feng S J, Deng X F, et al. Food Research International, 2006, 39: 645. [8] Liu F, Ye X J, He Y, et al. Journal of Food Engineering, 2009, 93: 127. [9] Pappas C S, Tarantilis P A, Moschopoulou E, et al. Food Chemistry, 2008, 106: 1271. [10] Brudzewski K, Osowski S, Markiewicz T. Sensors and Actuators B, 2004, 98: 291. [11] Collier W A, Baird D B, Park-NG Z A, et al. Sensors and Actuators B, 2003, 92: 232. [12] Tong Qingxi, Xue Yongqi, Wang Jinnian, et al. Journal of Remote Sensing, 2010, 14(3): 409. [13] TONG Qing-xi, ZHANG Bing, ZHENG Lan-fen(童庆禧,张 兵,郑兰芬). Hyperspectral Remote Sensing——Principle Technique and Application(高光谱遥感——原理、技术与应用). Beijing: Higher Education Press(北京:高等教育出版社), 2006. [14] ZHANG Liang-pei, ZHANG Li-fu(张良培,张立福). Hyperspectral Remote Sensing(高光谱遥感). Wuhan: Wuhan Univeisity Press(武汉: 武汉大学出版社), 2005. [15] Zou X B, Zhao J W, Povey M J W, et al. Analytica Chimica Acta, 2010, 667: 14.