[1] 彭彦昆, 张雷蕾. 农畜产品品质安全高光谱无损检测技术进展和趋势 ［J］. 农业机械学报, 2013, 44(4): 137-145.

    PENG Y K, ZHANG L L. Hyperspectral nondestructive testing technology progress and trends of the quality safety of agricultural and livestock products ［J］. J. Agricult. Machin., 2013, 44(4):137-145. (in Chinese)

[2] 谢传奇, 王佳悦, 冯雷, 等. 应用高光谱图像光谱和纹理特征的番茄早疫病早期检测研究 ［J］. 光谱学与光谱分析, 2013, 33(6):1603-1607.

    XIE C Q, WANG J Y, FENG L, et al.. Study on early detection of tomato early blight with spectral and texture features of hyperspectral images ［J］. Spectrosc. Spect. Anal., 2013, 33(6):1603-1607. (in Chinese)

[3] 何勇, 彭继宇, 刘飞, 等. 基于光谱和成像技术的作物养分生理信息快速检测研究进展 ［J］. 农业工程学报, 2015, 31(3):174-189.

    HE Y, PENG J Y, LIU F, et al.. Research progress on rapid detection of nutrient physiological information of crops based on spectroscopy and imaging technology ［J］. Agricult. Eng. J., 2015, 31(3):174-189. (in Chinese)

[4] 丁希斌, 刘飞, 张初, 等. 基于高光谱成像技术的油菜叶片SPAD值检测 ［J］. 光谱学与光谱分析, 2015, 35(2):486-491.

    DING X B, LIU F, ZHANG C, et al.. Detection of SPAD values of rape leaves based on hyperspectral imaging ［J］. Spectrosc. Spect. Anal., 2015, 35(2):486-491. (in Chinese)

[5] 曹佃生, 石振华, 林冠宇. 机载海洋改进型Dyson高光谱成像仪的研制 ［J］. 光学 精密工程, 2017, 25(6):1403-1409.

    CAO D S, SHI Z H, LIN G Y. Development of airborne ocean modified Dyson hyperspectral imager ［J］. Opt. Precision Eng., 2017, 25(6):1403-1409. (in Chinese)

[6] 张成业, 秦其明, 陈理, 等. 高光谱遥感岩矿识别的研究进展 ［J］. 光学 精密工程, 2015, 23(8):2407-2418. ZHANG C Y, QIN Q , CHEN L, et al.. Research and development of mineral identification utilizing hyperspectral remote sensing ［J］. Opt. Precision Eng., 2015, 23(8):2407-2418. (in Chinese)

[7] 王耀鹏, 顾志荣, 孙宇靖, 等. 近红外光谱快速定量技术在中药分析中的最新应用进展 ［J］. 中国实验方剂学杂志, 2015, 21(9):223-226.

    WANG Y P, GU Z R, SUN Y J, et al.. The latest progress in the application of fast quantitative near infrared spectroscopy in the analysis of Chinese medicine ［J］. Chin. Experiment. Prescript. J., 2015, 21(9):223-226. (in Chinese)

[8] 张凯华, 臧明伍, 王守伟, 等. 基于光谱技术的畜禽肉新鲜度评价方法研究进展 ［J］. 肉类研究, 2016, 30(1):30-35.

    ZHANG K H, ZANG M W, WANG S W, et al.. Research progress on evaluation method of meat freshness based on spectral technology ［J］. Meat Res., 2016, 30(1):30-35. (in Chinese)

[9] QIAO J, NGADI M O, WANG N, et al.. Pork quality and marbling level assessment using a hyperspectral imaging system ［J］. J. Food Eng., 2007, 83(1):10-16.

[10] 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):2808-2812.

    CAI J R, WAN X M, CHEN Q S. Fast detection of the content of volatile basic nitrogen in pork by near infrared spectroscopy ［J］. Acta Opt. Sinica, 2009, 29(10):2808-2812. (in Chinese)

[11] JACKMAN P. Prediction of beef palatability from colour, marbling and surface texture features of longissimus Dorsi ［J］. J. Food Eng., 2010, 96(1):151-165.

[12] 朱启兵, 肖盼, 黄敏, 等. 基于特征融合的猪肉新鲜度高光谱图像检测 ［J］. 食品与生物技术学报, 2015, 34(3):246-252.

    ZHU Q B, XIAO P, HUANG M, et al.. Detection of hyperspectral image of pork freshness based on feature fusion ［J］. J. Food Biotechnol., 2015, 34(3):246-252. (in Chinese)

[13] WANG X, ZHAO M, JU R, et al.. Visualizing quantitatively the freshness of intact fresh pork using acousto-optical tunable filter-based visible/near-infrared spectral imagery ［J］. Comput. Electron. Agricult., 2013, 99(7):41-53.

[14] ELMASRY G, SUN D W, ALLEN P. Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef ［J］. J. Food Eng., 2012, 110(1):127-140.

[15] 王志新. MATLAB程序设计及其数学建模应用 ［M］. 北京：科学出版社, 2013.

    WANG Z X. MATLAB Program Design and Application of Mathematical Modeling ［M］. Beijing: Science Press, 2013. (in Chinese)

[16] 赵杰文. 食品、农产品检测中的数据处理和分析方法 ［M］. 北京：科学出版社, 2012.

    ZHAO J W. Method of Data Processing and Analysis in Food and Agricultural Products Detection ［M］. Beijing: Science Press, 2012. (in Chinese)

[17] 汪希伟. 基于光谱成像的猪肉新鲜度检测方法 ［D］. 南京：南京林业大学, 2014. (in Chinese)

    WANG X W. New Approach to Detect Freshness of Pork Using Spectral Imaging ［D］. Nanjing: Najing Forestry University, 2014. (in Chinese)

[18] 高志帆, 张红平, 吴琼水, 等. AOTF高光谱成像系统的标定及性能测试 ［J］. 光子学报, 2015, 44(7):125-131.

    GAO Z F, ZHANG H P, WU Q S, et al.. Calibration and performance test of AOTF hyperspectral imaging system ［J］. Acta Photon. Sinica, 2015, 44(7):125-131. (in Chinese)

[19] 姜奕雯. 基于高光谱图像的猪肉新鲜度预测模型建立方法 ［D］. 南京：南京林业大学, 2015.

    JIANG Y W. Building Method of Pork Freshness Prediction Model Based on Hyperspectral Image ［D］. Nanjing: Nanjing Forestry University, 2015. (in Chinese)

[20] FENG Y Z, SUN D W. Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms ［J］. Talanta, 2013, 105(4):244-249.

[21] ELMASRY G, IQBAL A, SUN D W, et al.. Quality classification of cooked, sliced turkey hams using NIR hyperspectral imaging system ［J］. J. Food Eng., 2011, 103(3):333-344.

[22] SOLFRIZZI V, NARDO G A, PANZA F, et al.. Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: the specific cases of flour and bread ［J］. Arch. Gerontol. Geriat., 2015(S1):69-72.

[23] 吕程序, 姜训鹏, 张银桥, 等. 基于变量选择的小麦粗蛋白含量近红外光谱检测 ［J］. 农业机械学报, 2016, 47(s1):340-346.

    LYU C X, JIANG X P, ZHANG Y Q, et al.. Detection of wheat crude protein content by near infrared spectroscopy based on variable selection ［J］. J. Agricult. Machin., 2016, 47(s1):340-346. (in Chinese)

[24] 林志丹, 汪玉冰, 王儒敬, 等. 波长优选对土壤有机质含量可见光/近红外光谱模型的优化 ［J］. 发光学报, 2016, 37(11):1428-1435.

    LIN Z D, WANG Y B, WANG R J, et al.. Improvements of Vis-NIRS model in the prediction of soil organic matter content using wavelength optimization ［J］. Chin. J. Lumin., 2016, 37(11):1428-1435. (in English)

[25] QIAO Y, ZHANG S. Near-infrared spectroscopy technology for soil nutrients detection based on LS-SVM ［J］.IFIP Adv. Inform. Commun. Technol., 2016, 368:325-335.

[26] 刘永平, 王霞, 李帅帅, 等. 基于红外技术的气体浓度检测方法研究 ［J］. 光子学报, 2015, 44(1):0112002.

    LIU Y P, WANG X, LI S S, et al.. Gas concentration detection method based on infrared absorption spectroscopy technology ［J］. Acta Photon. Sinica, 2015, 44(1):0112002. (in Chinese)