河南农业大学学报2017，Vol.51Issue(3)：408-413,6.
基于正交信号校正的Vis-NIR光谱土壤质地预测
Prediction of soil texture using Vis-NIR spectra based on orthogonal signal correction
摘要
Abstract
In order to improve the prediction accuracy soil texture based on VIS-NIR spectra this paper introduces the orthogonal signal correction (OSC) spectra pretreatment method.Separate partial least squares regression (PLSR) model was established using the original spectrum,derivative analysis spectra,and OSC processing spectra respectively.The results showed that OSC-PLSR model validation's accuracy is higher than that of the other two models.The RMSEp of prediction from the OSC-PLSR models of content of sand and clay separates were 5.94 and 1.25,which were 22.22％ and 9.42％ lower than of the PLSR model respectively.The results of this research showed OSC algorithm can effectively eliminate the influence of unrelated factors and improve the accuracy of prediction when using Vis-NIR spectra to predict soil texture.关键词
Vis-NIR光谱/土壤质地/正交信号校正/偏最小二乘回归Key words
Vis-NIR spectroscopy/soil texture/orthogonal signal correction/partial least squares regression分类
农业科技引用本文复制引用
王德彩,蔚霖,张俊辉,杨红震,黄家荣,孙孝林..基于正交信号校正的Vis-NIR光谱土壤质地预测[J].河南农业大学学报,2017,51(3):408-413,6.基金项目
国家自然科学基金项目(41201210) （41201210）
