|本期目录/Table of Contents|

[1]章海亮,代启,叶青,等.基于高光谱成像技术的三文鱼肉脂肪含量可视化研究[J].江苏农业科学,2019,47(18):220-223.
 Zhang Hailiang,et al.Study on visualization of salmon meat fat content based on hyperspectral imaging technology[J].Jiangsu Agricultural Sciences,2019,47(18):220-223.
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基于高光谱成像技术的三文鱼肉脂肪含量可视化研究(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第47卷
期数:
2019年第18期
页码:
220-223
栏目:
贮藏加工与检测分析
出版日期:
2019-10-15

文章信息/Info

Title:
Study on visualization of salmon meat fat content based on hyperspectral imaging technology
作者:
章海亮 代启 叶青 刘雪梅 罗微
华东交通大学电气工程与自动化学院,江西南昌 330013
Author(s):
Zhang Hailianget al
关键词:
三文鱼脂肪含量分布偏最小二乘(PLS)模型连续投影算法可视化表达
Keywords:
-
分类号:
S126;TP391.4
DOI:
-
文献标志码:
A
摘要:
采用高光谱成像技术实现三文鱼的脂肪含量检测,并基于Matlab编程语言实现三文鱼肉脂肪含量分布的可视化。将5条整鱼按照相同切分规则切分成100个三文鱼样本,并分别采集100个样本的高光谱成像数据,在此基础上,提取每个样本感兴趣区域的光谱数据。利用偏最小二乘(PLS)模型,对100个样本的光谱数据进行三文鱼脂肪建模分析,其中75个样本组成建模集,25个样本组成预测集,分析结果显示,预测集决定系数为0.913,均方根误差(RMSEP)为0.921%。为简化模型,对全谱利用连续投影算法(SPA)提取特征波长,然后基于特征波长建立PLS模型,模型预测集的决定系数为0.913,均方根误差为0.920%,说明模型得到简化的同时,精度并没有降低。最后采用Matlab语言编程对三文鱼的脂肪含量进行可视化研究,结果显示,基于Matlab语言编程可以很形象地表达三文鱼的脂肪含量分布。
Abstract:
-

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-06-13
基金项目:国家自然科学基金(编号:61565005)。
作者简介:章海亮(1977—),男,江西南昌人,博士,副教授,主要从事高光谱成像技术及其应用研究。E-mail:hailiang.zhang@163.com。
通信作者:罗微,硕士,讲师,主要从事高光谱成像技术及其应用研究。E-mail:15270030556@163.com。
更新日期/Last Update: 2019-09-20