Lifting Wavelet Transform De-noising for Model Optimization of Vis-NIR Spectroscopy to Predict Wood Tracheid Length in Trees

The data analysis of visible-near infrared (Vis-NIR) spectroscopy is critical for precise information extraction and prediction of fiber morphology. The objectives of this study were to discuss the de-noising of Vis-NIR spectra, taken from wood, to improve the prediction accuracy of tracheid length in Dahurian larch wood. Methods based on lifting wavelet transform (LWT) and local correlation maximization (LCM) algorithms were developed for optimal de-noising parameters and partial least squares (PLS) was employed as the prediction method. The results showed that: (1) The values of tracheid length in the study were generally high and had a great positive linear correlation with annual rings (R = 0.881), (2) the optimal de-noising parameters for larch wood based Vis-NIR spectra were Daubechies-2 (db2) mother wavelet with 4 decomposition levels while using a global fixed hard threshold based on LWT, and (3) the Vis-NIR model based on the optimal LWT de-noising parameters (Rc2 = 0.834, RMSEC = 0.262, RPDc = 2.454) outperformed those based on the LWT coupled with LCM algorithm (LWT-LCM) (Rc2 = 0.816, RMSEC = 0.276, RPDc = 2.331) and raw spectra (Rc2 = 0.822, RMSEC = 0.271, RPDc = 2.370). Thus, the selection of appropriate LWT de-noising parameters could aid in extracting a useful signal for better prediction accuracy of tracheid length.

[1]  Wei Jiang,et al.  Mechanical and Physical Properties of Oriented Strand Board Exposed to High Temperature and Relative Humidity and Coupled with Near-Infrared Reflectance Modeling , 2018 .

[2]  Jorge Luis Monteiro de Matos,et al.  Comparison of Methods for Estimating Mechanical Properties of Wood by NIR Spectroscopy , 2018 .

[3]  P. R. Hein,et al.  Challenges in the use of Near Infrared Spectroscopy for improving wood quality: A review , 2018 .

[4]  Zanuncio Ajv,et al.  DETERMINATION OF HEAT-TREATED EUCALYPTUS AND PINUS WOOD PROPERTIES USING NIR SPECTROSCOPY , 2018 .

[5]  B. Miloš,et al.  ESTIMATION OF CALCIUM CARBONATE IN ANTHROPOGENIC SOILS ON FLYSCH DEPOSITS FROM DALMATIA (CROATIA) USING VIS-NIR SPECTROSCOPY , 2017 .

[6]  Yohei Kurata,et al.  Nondestructive Classification Analysis of Wood Soaked in Seawater by Using Near-Infrared Spectroscopy , 2017 .

[7]  P. Boruszewski,et al.  Comparison of the Structure of Juvenile and Mature Wood of Larix decidua Mill. from Fast-Growing Plantations in Poland , 2017 .

[8]  V. Santé-Lhoutellier,et al.  Molecular changes in gelatin aging observed by NIR and fluorescence spectroscopy , 2016 .

[9]  C. Lindsay Anderson,et al.  A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds , 2016, IEEE Access.

[10]  Pei-guo Hou,et al.  [Research on Spectroscopy Spectrum De-Noising of Mineral Oil Based on Lifting Scheme Wavelet Transform]. , 2016, Guang pu xue yu guang pu fen xi = Guang pu.

[11]  Xinyuan Shi,et al.  Absorption and quantitative characteristics of C-H bond and O-H bond of NIR , 2014 .

[12]  Wei Jiang,et al.  Near Infrared Spectroscopy Calibration for Wood Chemistry: Which Chemometric Technique Is Best for Prediction and Interpretation? , 2014, Sensors.

[13]  Richard Webster,et al.  Predicting soil properties from the Australian soil visible–near infrared spectroscopic database , 2012 .

[14]  Roman M. Balabin,et al.  Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy , 2011 .

[15]  Jun-liang Liu,et al.  [Estimation of the physical and mechanical properties of Neosinocalamus affinins using near infrared spectroscopy]. , 2011, Guang pu xue yu guang pu fen xi = Guang pu.

[16]  H. Mäkinen,et al.  Predicting wood and tracheid properties of Norway spruce , 2007 .

[17]  L. Groom,et al.  Tracheid length prediction in Pinus palustris by means of near infrared spectroscopy: the influence of age , 2005, Holz als Roh- und Werkstoff.

[18]  P. Jones,et al.  Nondestructive estimation of tracheid length from sections of radial wood strips by near infrared spectroscopy , 2004 .

[19]  David L. Donoho,et al.  A First Course in Wavelets with Fourier Analysis , 2002 .

[20]  Francis J. Narcowich,et al.  A First Course in Wavelets with Fourier Analysis , 2001 .

[21]  丁建丽 Ding Jianli,et al.  Inversion of Soil Moisture Content Based on Hyperspectral Multi-Scale Decomposition , 2018 .

[22]  杨秀芳 Yang Xiufang,et al.  Denoising Technology of Radar Life Signal Based on Lifting Wavelet Transform , 2014 .

[23]  Sylvain Gioux,et al.  Near-infrared fluorescence sentinel lymph node mapping in breast cancer: a multicenter experience , 2013, Breast Cancer Research and Treatment.

[24]  M. Kiaei,et al.  Formation of Juvenile/Mature Wood in Pinus eldarica medw and Related Wood Properties , 2011 .

[25]  Leslie H. Groom,et al.  Within tree variation of lignin, extractives, and microfibril angle coupled with the theoretical and near infrared modeling of microfibril angle , 2007 .

[26]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..