[1] Song Xiaoyan, Bai Fuzhong, Wu Jianxin, et al. Wood knot defects recognition with gray-scale histogram features［J］. Laser & Optoelectronics Progress, 2015, 52(3): 031501.

[2] Karsulovic J T, León L A, Gaete L. Ultrasonic detection of knots and annual ring orientation in Pinus radiata lumber［J］. Wood and Fiber Science, 2007, 32(3): 278-286.

[3] Baradit E, Aedo R, Correa J. Knots detection in wood using microwaves［J］. Wood Science and Technology, 2006, 40(2): 118-123.

[4] Longuetaud F, Mothe F, Kerautret B, et al. Automatic knot detection and measurements from X-ray CT images of wood: a review and validation of an improved algorithm on softwood samples［J］. Computers and Electronics in Agriculture, 2012, 85: 77-89.

[5] Han Yujie, Zhu Guoxi, Tanaka Chiaki. Method of on-line detecting wood surface defects by laser［J］. China Wood Industry, 2002, 16(3): 28-29.

[6] Chen L J, Wang K Q, Xie Y H, et al. The segmentation of timber defects based on color and the mathematical morphology［J］. Optik - International Journal for Light and Electron Optics, 2014, 125(3): 965-967.

[7] Xie Y H, Wang J C. Study on the identification of the wood surface defects based on texture features［J］. Optik - International Journal for Light and Electron Optics, 2015, 126(19): 2231-2235.

[8] Chen Yongping, Guo Wenjing, Wang Zheng. An improved algorithm of veneer knot image recognition based on mathematical morphology［J］. Scientia Silvae Sinicae, 2015, 51(9): 90-95.

[9] Wu Xiaohong, Sun Jun, Wu Bin, et al. Qualitative analysis model of near infrared spectra of pork based on synergy interval partial least squares discriminant analysis［J］. Laser & Optoelectronics Progress, 2015, 52(4): 043003.

[10] Gong Zhiyuan, Li Yifan, Liu Yande, et al. Study on influence of irradiation angle on detection of sugar content of apple by near infrared spectroscopy［J］. Laser & Optoelectronics Progress, 2016, 53(2): 023004.

[11] Poke F S, Raymond C A. Predicting extractives, lignin, and cellulose contents using near infrared spectroscopy on solid wood in Eucalyptus globulus［J］. Journal of Wood Chemistry and Technology, 2006, 26(2): 187-199.

[12] Alves A, Santos A, Rozenberg P, et al. A common near infrared-based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix×eurolepis［J］. Wood Science and Technology, 2012, 46(1-3): 157-175.

[13] Yang Zhong, Huang Anmin, Jiang Zehui. Discrimination of wood biological decay by NIR coupled with regression analysis prediction method［J］. Scientia Silvae Sinicae, 2012, 48(10): 120-124.

[14] Shou Guozhong, Zhang Wenya, Gu Yuqi, et al. Application of near infrared spectroscopy for discrimination of similar rare woods in the Chinese market［J］. Journal of Near Infrared Spectroscopy, 2014, 22(6): 423-432.

[15] Fujimoto T, Tsuchikawa S. Identification of dead and sound knots by near infrared spectroscopy［J］. Journal of Near Infrared Spectroscopy, 2010, 18(6): 473-479.

[16] Yang Zhong, Chen Ling, Fu Yuejin, et al. Rapid detection of knot defect in wood surface by near infrared spectroscopy coupled with SIMCA pattern recognition［J］. Journal of Northeast Forestry University, 2012, 40(8): 70-72.

[17] Yang Z, Zhang M M, Chen L, et al. Non-contact detection of surface quality of knot defects on eucalypt veneers by near infrared spectroscopy coupled with soft independent modeling of class analogy［J］. BioResources, 2015, 10(2): 3314-3325.

[18] Yang Z, Zhang M M, Li K, et al. Rapid detection of knot defects on wood surface by near infrared spectroscopy coupled with partial least squares discriminant analysis［J］. BioResources, 2016, 11(1): 2557-2567.

[19] Liu Fei, Feng Lei, Chai Rongyao, et al. Discrimination of rice canopy leaf blast based on spectroscopic techniques and direct orthogonal signal correction［J］. Acta Optica Sinica, 2010, 30(2): 585-589.

[20] Luo Xia, Hong Tiansheng, Luo Kuo, et al. Application of hyperspectrum technology in non-destructive measurement of soluble solid content in pitaya［J］. Laser & Optoelectronics Progress, 2015, 52(8): 083002.

[21] Araújo M C U, Saldanha T C B, Galvo R K H, et al. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis［J］. Chemometrics and Intelligent Laboratory Systems, 2001, 57(2): 65-73.

[22] Sun Tong, Wu Yiqing, Li Xiaozhen, et al. Discrimination of camellia oil adulteration by NIR spectra and subwindow permutation analysis［J］. Acta Optica Sinica, 2015, 35(6): 0630005.

[23] Suykens J A K, de Brabanter J, Lukas L, et al. Weighted least squares support vector machines: robustness and sparse approximation［J］. Neurocomputing, 2002, 48(1): 85-105.

[24] Schwanninger M, Rodrigues J, Fackler K. A review of band assignments in near infrared spectra of wood and wood components［J］. Journal of Near Infrared Spectroscopy, 2011, 19(5): 287-308.

[25] Jiang Zehui, Huang Anmin, Wang Bin. Near infrared spectroscopy of wood sections and rapid density prediction［J］. Spectroscopy and Spectral Analysis, 2006, 26(6): 1034-1037.

[26] Rowell R M. Wood chemistry and wood composites［M］. Boca Raton: CRC Press, 2005: 35-74.