[1]
[2] The Ministry of Agriculture. The international apple trade situation and China apple export situation of [J]. Chinese Fruit Industry Information, 2006(4): 6-8. (in Chinese) 农业部. 国际苹果贸易概况与我国苹果出口情况[J]. 中国 果业信息, 2006(4): 6-8.
[3] Mo Runyang. Nondestructive testing technology in fruit quality evaluation in the application of [J]. In Physics and Technology, 2004, 33 (11): 848-851. (in Chinese) 莫润阳. 无损检测技术在水果品质评价中的应用[J]. 物理 学和高新技术, 2004, 33 (11): 848-851.
[4]
[5]
[6] Zhang Xiang, Zhang Jianqi, Qin Hanlin, et al. Anomaly detection for hyperspectral image based on multiresolution decomposition [J]. Infrared and Laser Engineering, 2011, 40(3): 570-575. (in Chinese) 张翔, 张建奇, 秦翰林, 等. 用多分辨率分解的高光谱图像异 常检测[J]. 红外与激光工程, 2011, 40(3): 570-575.
[7] Liu Y, Chen Y R, Wang C Y, et a1. Development of hyperspectral imaging technique for the detection of chilling injury on cucumbers spectral and image analysis [J]. Applied Engineering in Agriculture, 2006, 22(1): 101-111．
[8]
[9] Xu Hong, Wang Xingjun. Applications of multi spectral hyperspectral imaging technologies in military [J]. Infrared and Laser Engineering, 2007, 36(1): 13-17. (in Chinese) 许洪, 王向军. 多光谱、超光谱成像技术在军事上的应用[J]. 红外与激光工程, 2007, 36(1): 13-17.
[10]
[11] Wang Jingli. Mamimum band screening and its application to hyperspectral target dection[J]. Infrared and Laser Engineering, 2012, 41(6): 1514-1518. (in Chinese) 王静荔. 波段最大筛选法及其在高光谱目标探测中的应用[J]. 红外与激光工程, 2012, 41(6): 1514-1518.
[12]
[13] Liu Y, Ying Y. Use of FT-NIR spectrometry in non-invasive measurements of internal quality of 'Fuji'apples[J]. Postharvest Biology and Technology, 2005, 37: 65-71.
[14]
[15]
[16] He Yuanlei, Liu Daizhi, Wang Jingli, et al. Independent component analysis-based band selection for hyperspectral imagery [J]. Infrared and Laser Engineering, 2012, 41 (3): 818-824. (in Chinese) 何元磊, 刘代志, 王静荔, 等. 利用独立成分分析的高光谱 图像波段选择方法[J]. 红外与激光工程, 2012, 41 (3): 818-824.
[17] Polder G, Van der Heijden G W A M, Young I T. Spectral image analys is for measuring ripeness of tomatoes [J]. American Society of Agricultural Engineers, 2002, 45 (4): 1155-1161.
[18]
[19]
[20] Lu R． Detection of bruises on apples using near-infrared hyperspectral imaging [J]． Transactions of ASAE, 2003, 46 (2): 523-530.
[21]
[22] Hong Tiansheng, Qiao Jun, Ning Wang, et al. Non-destructive inspection of Chinese pear quality based on hyperspectral imaging technique [J]. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23 (2): 151-155. (in Chinese) 洪添胜, 乔军, 王宁, 等. 基于高光谱图像技术的雪花梨品 质无损检测[J]. 农业工程学报, 2007, 23(2): 151-155.
[23] Masry E G． Hyperspectral imaging for nondestructive deterruination of some quality at tributes for straw berry [J]． Journal of Food Engineering, 2007, 81: 98-107．
[24]
[25]
[26] NagataM, Tallada J G, Kobayashi T, et al. Predictingm aturity quality parameters of strawberries using hyperspectral imaging [C]//American Society of Agricultural Engineers Annual Meeting, 2004: 043033.
[27] Sivakumar S S, Qiao J, Gariepy Y, et al. Detectingm aturity parameters of mango using hyperspectral imag ing techology[C]//American Society of Agricultural Engineers Annual Meeting, 2006: 066183.
[28]
[29] Guo Enyou, Liu Muhua, Zhao Jienwen, et al. Nondestructive detection of sugar content on Navel orange with hyperspectral imaging[J]. Transactions of the CSAM, 2008, 39(5): 91-93, 103. (in Chinese) 郭恩有, 刘木华, 赵杰文, 等. 脐橙糖度的高光谱图像无损 检测技术[J]. 农业机械学报, 2008, 39(5): 91-93, 103.