光谱学与光谱分析, 2020, 40 (9): 2826, 网络出版: 2020-11-26
高光谱成像的图谱特征与卷积神经网络的名优大米无损鉴别
Non-Destructive Identification Method of Famous Rice Based on Image and Spectral Features of Hyperspectral Imaging With Convolutional Neural Network
基本信息
| DOI: | 10.3964/j.issn.1000-0593(2020)09-2826-08 |
| 中图分类号: | O657.39 |
| 栏目: | |
| 项目基金: | 国家自然科学基金项目（31971789, 3170123）, 国家重点研发计划项目（2016YFD0800904）, 农业部农产品质量安全风险评估实验室（北京）开放课题项目（KFRA201802）资助 |
| 收稿日期: | 2019-12-30 |
| 修改稿日期: | 2020-03-09 |
| 网络出版日期: | 2020-11-26 |
| 通讯作者: | 徐超 (graymagpie@163.com) |
| 备注: | -- |
翁士状, 唐佩佩, 张雪艳, 徐超, 郑玲, 黄林生, 赵晋陵. 高光谱成像的图谱特征与卷积神经网络的名优大米无损鉴别[J]. 光谱学与光谱分析, 2020, 40(9): 2826. WENG Shi-zhuang, TANG Pei-pei, ZHANG Xue-yan, XU Chao, ZHENG Ling, HUANG Lin-sheng, ZHAO Jin-ling. Non-Destructive Identification Method of Famous Rice Based on Image and Spectral Features of Hyperspectral Imaging With Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2020, 40(9): 2826.
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