基于FISS成像光谱数据牛奶品种识别研究
Study on Discrimination of Varieties of Milk Based on FISS Imaging Spectral Data
查看参考文献15篇
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文摘
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利用自主研制的地面成像光谱辐射测量系统(fieldimaging spectrometer system,FISS)获取了14种典型牛奶样品的高光谱图像数据,并基于此做了牛奶品种识别研究.首先剔除2个异常样品,对剩余12种牛奶样品随机取样,共取1200个像元样本;为消除高频随机噪声和基线偏移,改善多重共线性,对所有样本做移动平均平滑和一阶微分预处理,再运用逐步回归法选择的特征波长建立牛奶多类判别分析模型.结果表明,对12种牛奶样本混合识别,总体判别精度高达95.5%,其中蒙牛,伊利和光明三种原味酸奶的总体正确识别率为88.3%;对这三种原味酸奶构成的样本子集单独识别,其总体正确识别率为88.7%.这说明FISS能够用于牛奶品种识别研究,还发现为实现有针对性的牛奶品种鉴别,同类型不同厂家生产的牛奶最好单独识别,这不仅能减少模型变量,提高模型运算效率和稳定性,也能提高判别的总体精度 |
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其他语种文摘
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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 |
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来源
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光谱学与光谱分析
,2011,31(1):214-218 【核心库】
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DOI
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10.3964/j.issn.1000-0593(2011)01-0214-05
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关键词
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成像光谱技术
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遥感应用
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品种识别
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地面成像光谱辐射测量系统(FISS)
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地址
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中国科学院遥感应用研究所, 遥感科学国家重点实验室, 北京, 100101
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-0593 |
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学科
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自动化技术、计算机技术 |
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基金
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中国科学院重大科研装备研制项目
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国家863计划
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文献收藏号
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CSCD:4115508
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参考文献 共
15
共1页
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|
1.
袁石林. 牛奶中三聚氰胺的可见/近红外光谱快速判别分析方法的研究.
光谱学与光谱分析,2009,29(11):2939
|
CSCD被引
8
次
|
|
|
|
|
2.
王右军. CCD短波近红外光谱快速检测牛奶中掺假物质的研究.
食品科学,2009,30(6):135
|
CSCD被引
13
次
|
|
|
|
|
3.
李庆波. 牛奶主要成分含量近红外光谱快速测量法.
食品科学,2002,23(6):121
|
CSCD被引
17
次
|
|
|
|
|
4.
王丽杰.
哈尔滨理工大学学报,2004,9(5):36
|
CSCD被引
6
次
|
|
|
|
|
5.
李民赞.
光谱分析技术及其应用,2006
|
CSCD被引
72
次
|
|
|
|
|
6.
王硕.
红外,2006,27(11):27
|
CSCD被引
8
次
|
|
|
|
|
7.
He Y.
Food Research International,2006,39:645
|
CSCD被引
20
次
|
|
|
|
|
8.
Liu F.
Journal of Food Engineering,2009,93:127
|
CSCD被引
10
次
|
|
|
|
|
9.
Pappas C S.
Food Chemistry,2008,106:1271
|
CSCD被引
2
次
|
|
|
|
|
10.
Brudzewski K.
Sensors and Actuators B,2004,98:291
|
CSCD被引
17
次
|
|
|
|
|
11.
Collier W A.
Sensors and Actuators B,2003,92:232
|
CSCD被引
9
次
|
|
|
|
|
12.
Tong Qingxi.
Journal of Remote Sensing (in Chinese),2010,14(3):409
|
CSCD被引
2
次
|
|
|
|
|
13.
童庆禧.
高光谱遥感------原理,技术与应用,2006
|
CSCD被引
9
次
|
|
|
|
|
14.
张良培.
高光谱遥感,2005
|
CSCD被引
65
次
|
|
|
|
|
15.
Zou X B.
Analytica Chimica Acta,2010,667:14
|
CSCD被引
102
次
|
|
|
|
|
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