基于高光谱成像图像和光谱特征的卷积神经网络名稻无损识别方法

IF 0.7 4区 化学 Q4 SPECTROSCOPY 光谱学与光谱分析 Pub Date : 2020-01-01 DOI:10.3964/J.ISSN.1000-0593(2020)09-2826-08
Weng Shizhuang, Tang Peipei, Zhang Xueyan, Chao Xu, Zheng Ling, Linsheng Huang, Jinling Zhao
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Non-Destructive Identification Method of Famous Rice Based on Image and Spectral Features of Hyperspectral Imaging With Convolutional Neural Network
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来源期刊
光谱学与光谱分析
光谱学与光谱分析 Physics and Astronomy-Instrumentation
CiteScore
1.60
自引率
14.30%
发文量
18084
审稿时长
1.44444 months
期刊介绍:
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