用多波长和LS-SVM补偿土壤温度的方法研究
梁秀英;李小昱
【期刊名称】《传感技术学报》 【年(卷),期】2011(027)008
【摘要】Since the near-infrared ( NIR) spectrum is susceptible to the sample temperature fluctuations, the paper uses multi-scale wavelet transform as the pretreatment method of the spectral data and uses the least squares support vector machine ( LS-SVM) regression method to establish the NIR quantitative analysis model for studying the influence of the sample temperature on the predictive power of calibration model for soil moisture content ( MC) in the whole NIR spectral region. The paper proposes the LS-SVM model based on four wavelengths in NIR region to compensate for the sample temperature effect on soil MC. The experiment showed that the fluctuation of soil temperature makes the prediction accuracy of the model which was established in the whole NIR region lower. Using the multi-scale wavelet transform to extract the temperature-sensitive spectra and removed them from the original spectra, the characteristic spectra corresponding to soil MC were acquired and the LS-SVM model with four wavelengths was established. The results demonstrated that multi-scale wavelet analysis and LS-SVM regression method can substantially reduce the influence of sample temperature on soil MC. This method provides a theoretical
用多波长和LS-SVM补偿土壤温度的方法研究
