光谱学与光谱分析 |
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Measurement of Soil Organic Matter and Available K Based on SPA-LS-SVM |
ZHANG Hai-liang1, 2, LIU Xue-mei2, HE Yong1* |
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China 2. School of Mechanical Engineering, East China Jiaotong University, Nanchang 330013, China |
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Abstract Visible and short wave infrared spectroscopy (Vis/SW-NIRS) was investigated in the present study for measurement of soil organic matter (OM) and available potassium (K). Four types of pretreatments including smoothing, SNV, MSC and SG smoothing+first derivative were adopted to eliminate the system noises and external disturbances. Then partial least squares regression (PLSR) and least squares-support vector machine (LS-SVM) models were implemented for calibration models. The LS-SVM model was built by using characteristic wavelength based on successive projections algorithm (SPA). Simultaneously, the performance of LS-SVM models was compared with PLSR models. The results indicated that LS-SVM models using characteristic wavelength as inputs based on SPA outperformed PLSR models. The optimal SPA-LS-SVM models were achieved, and the correlation coefficient (r), and RMSEP were 0.860 2 and 2.98 for OM and 0.730 5 and 15.78 for K, respectively. The results indicated that visible and short wave near infrared spectroscopy (Vis/SW-NIRS) (325~1 075 nm) combined with LS-SVM based on SPA could be utilized as a precision method for the determination of soil properties.
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Received: 2013-06-29
Accepted: 2013-10-14
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Corresponding Authors:
HE Yong
E-mail: yhe@zju.edu.cn
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