Hyperspectral imaging technology to detect the vigor of thermal-damaged Quercus variabilis seeds

作     者：Lei Pang Jiang Xiao Jingjing Ma Lei Yan Lei Pang;Jiang Xiao;Jingjing Ma;Lei Yan

作者机构：School of TechnologyBeijing Forestry UniversityBeijing 100083People’s Republic of China 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2021年第32卷第2期

页      面：461-469页

核心收录：

学科分类：0907[农学-林学] 08[工学] 0829[工学-林业工程] 09[农学] 

基　　金：funded by the National Natural Science Foundation of China(Grant No.31770769) the National Key Research and Development Program of China(No.2017YFC0504403) the Fundamental Research Funds for the Central Universities(No.2015ZCQ-GX-03) 

主　　题：Seed vigor level Quercus variabilis Heat damage Hyperspectral Least squares support vector machine 

摘      要：This study investigated the feasibility of hyperspectral imaging techniques to estimate the vigor of heatdamaged Quercus variabilis *** thermal damage grades were classified according to heat treatment duration(0,2,5,and 10 h).After obtaining hyperspectral images with a 370–1042 nm hyperspectral imager that included visible and near infrared light,germination was tested to confirm *** Savitzky–Golay(SG)second derivative was used to preprocess the spectrum to reduce any noise *** successive projections algorithm(SPA),principal component analysis,and local linear embedding algorithm were used to extract the characteristic spectral bands related to seed ***,a model for seed vigor classifi-cation of *** s based on partial least squares support vector machine(LS-SVM)with different spectral data sets was *** results show that the spectrum after SG second derivative preprocessing was better for developing the model,and SPA performed the best among the three feature band selection *** combination SG second derivative-LS-SVM provided the best classification model for *** seed vigor,with the prediction set reaching 98.81%.This study provides an important basis for rapid and nondestructive assessment of the vigor of heat-damaged seeds using hyperspectral imaging techniques.