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基于拉曼光谱和模式识别算法的软玉产地鉴别 被引量:17

Nephrite Origin Identification Based on Raman Spectroscopy and Pattern Recognition Algorithms
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摘要 利用自行研制的便携式拉曼光谱仪,研究了甘肃、青海和新疆3个产地软玉的拉曼光谱特征,并对其光谱差异进行解析;基于马氏距离判别方法和随机森林判别方法实现了3个产地软玉的无损鉴别。结果表明:利用马氏距离判别方法和随机森林判别方法可以对具有相同拉曼峰的不同产地的软玉进行鉴别,鉴别准确率分别为87.5%和95.83%。 The self-developed portable Raman spectrometer is used to analyze the Raman spectral characteristics of nephrites from Gansu,Qinghai,and Xinjiang,and the spectral differences are analyzed.The nondestructive identification of nephrites from three different origins is realized based on the two pattern recognition algorithms of Mahalanobis distance discriminated method and random forest discriminated method.The results show that the Mahalanobis distance discriminated method and the random forest discriminated method can be used to distinguish the nephrites from different origins with the same Raman peak,and the identification accuracies of them are 87.5%and 95.83%,respectively.
作者 徐荟迪 林露璐 李征 黄梅珍 周征宇 Xu Huidi;Lin Lulu;Li Zheng;Huang Meizhen;Zhou Zhengyu(Department of Instrument Science and Engineering,School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Instrument and Electrical Analysis Instrument Co.,Ltd.,Shanghai 201805,China;School of Ocean and Earth Science,Tongji University,Shanghai 200092,China)
出处 《光学学报》 EI CAS CSCD 北大核心 2019年第3期388-394,共7页 Acta Optica Sinica
基金 国家自然科学基金(61775133) 国家重大科学仪器设备开发专项(2012YQ180132) 上海市科技计划(15dz2283200)
关键词 光谱学 产地鉴别 拉曼光谱 马氏距离 随机森林 软玉 模式识别 spectroscopy origin identification Raman spectroscopy Mahalanobis distance random forest nephrite pattern recognition
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