[基于高光谱数据降维算法的黄芪产地及栽培模式快速识别]。

Q3 Pharmacology, Toxicology and Pharmaceutics
Fei-Xiang Zhou, Hong Jiang, Bao-Lin Guo, Jiao-Yang Luo, Cheng Pan, Mei-Hua Yang, Ye-Lin Liu
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引用次数: 0

摘要

本研究旨在建立一种快速、无损的鉴别黄芪来源和栽培模式的方法。高光谱成像系统(光谱范围:400-1 000 nm, 900-1 700 nm;检测时间为15 s),对不同产地和栽培方式的黄芪样品进行检测。所采集的高光谱数据集高度相关且数量众多,需要建立稳定可靠的降维和分类模型。首先,对原始光谱进行归一化、高斯平滑和掩蔽预处理。然后采用主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)和竞争自适应重加权采样(CARS)对高光谱数据进行降维处理。最后,利用支持向量机(SVM)、前馈神经网络(FFNN)和卷积神经网络(CNN)对光谱图像和降维光谱曲线进行数据训练。结果表明,在CNN测试数据集上,将CARS作为PLS-DA前的变量选择方法,在黄芪高光谱数据上获得了100%的准确度、精密度和召回率。f_1评分及ROC曲线下面积(AUC)均达1。该方法简便、快速、省样、无损,可为黄芪的产地及栽培方式的快速鉴定提供技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Fast identification of origins and cultivation patterns of Astragali Radix by dimension reduction algorithms of hyperspectral data].

This study aims to establish a rapid and non-destructive method for recognizing the origins and cultivation patterns of Astragali Radix. A hyperspectral imaging system(spectral ranges: 400-1 000 nm, 900-1 700 nm; detection time: 15 s) was used to examine the samples of Astragali Radix with different origins and cultivation patterns. The collected hyperspectral datasets were highly correlated and numerous, which required the establishment of stable and reliable dimension reduction and classification models. Firstly, the original spectra were preprocessed by normalization, Gaussian smoothing, and masking. Then, principal component analysis(PCA), partial least squares-discriminant analysis(PLS-DA), and competitive adaptive reweighted sampling(CARS) were performed to reduce the dimension of the hyperspectral data. Finally, support vector machine(SVM), feedforward neural network(FFNN), and convolutional neural network(CNN) were used for data training of the spectral images and spectral curves with dimension reduction. The results showed that applying CARS as a variable selection method before PLS-DA on the hyperspectral data of Astragali Radix achieved the accuracy, precision, and recall of 100% on the CNN test dataset. The F_1-score and area under the curve of ROC(AUC) reached 1. This method is convenient, quick, sample-saving, and non-destructive, providing technical support for rapid identification of the origins and cultivation patterns of Astragali Radix.

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来源期刊
Zhongguo Zhongyao Zazhi
Zhongguo Zhongyao Zazhi Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
1.50
自引率
0.00%
发文量
581
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