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当前位置: 首页 > 文章 > 利用高光谱图像技术鉴别庐山云雾茶产地 江西农业大学学报 2014 (2) 191-196
Position: Home > Articles > Identification of Geographical Origins of Lushan Mist Tea by Hyper-spectral Imaging Technology Acta Agriculturae Universitatis Jiangxiensis 2014 (2) 191-196

利用高光谱图像技术鉴别庐山云雾茶产地

作  者：
艾施荣;吴瑞梅;吴彦红;严霖元
单  位：
江西农业大学;同济大学
关键词：
高光谱图像;BP神经网络;主成分分析;庐山云雾茶;产地鉴别
摘  要：
提出了基于高光谱图像技术的庐山云雾茶产地鉴别方法。利用高光谱成像系统采集地理标志庐山云雾茶和广西、四川、福建3个其他产地云雾茶的高光谱数据,采用主成分分析法从原始高光谱数据块中选取3个特征波长:792.20,831.47,870.97 nm,分别提取每个特征波长下的灰度图像的纹理特征,利用BP神经网络方法建立庐山云雾茶产地鉴别模型。模型训练时的回判识别率为97.25%,预测时的识别率为95%,说明利用高光谱图像技术追溯庐山云雾茶产地可行。
译  名：
Identification of Geographical Origins of Lushan Mist Tea by Hyper-spectral Imaging Technology
作  者：
AI Shi-rong;WU Rui-mei;WU Yan-hong;YAN Lin-yuan;College of Software,Tongji University;College of Software,Jiangxi Agricultural University;College of Engineering,Jiangxi Agricultural University;
关键词：
hyper-spectral imaging;;BP-ANN;;principal component analysis;;Lushan mist tea;;discrimination of geographical origin
摘  要：
A rapid method was developed for discrimination of the geographical origins of Lushan mist tea by hyper-spectral imaging technique. The mist tea with Lushan geographic signs and mist tea from other places( Guangxi,Sichuan and Fujian) were investigated. A hyper-spectral imaging system was used to collect hyperspectral image data of the tea. Three feature wavelengths namely,792. 20,831. 47 and 870. 97 nm were optimized by principal component analysis method from the raw hyper-spectral images. The texture features were extracted from each gray image of each characteristic wavelength. BP-ANN model was used to develop a discrimination model. The correct discrimination rate of the model was 97. 5% in the training set,and the discrimination rate of model was 95% in the prediction set. The overall results sufficiently demonstrated that hyperspectral imaging technology could be used to identify rapidly the geographical origins of mist tea.

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