关于不同波段磁赤铁矿近红外光谱的去噪研究
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摘要
在近红外光谱实验中,由于各种因素的影响,每条光谱都会受到噪声的影响,且同一条光谱的不同波段内也会存在不同程度的噪声。为探究不同波段不同程度的噪声对近红外光谱数据去噪的影响,文中采用三种平滑方法对磁赤铁矿近红外光谱进行分波段去噪处理,并采用信噪比和均方误差的比值作为评价标准对去噪结果进行分析。实验结果:在不同波段不同程度噪声影响下磁赤铁矿近红外光谱的最佳平滑去噪方法不同,且去噪效果出现一定规律性变化。实验结果表明三种平滑方法在不同波段不同程度噪声影响下具有各自的去噪优势,这为不同波段不同程度噪声影响下去噪方法的选择提供依据,提出一类由不同平滑去噪方法组合而成,且去噪效果比单一平滑去噪方法更加优异的磁赤铁矿近红外光谱数据的去噪方法组合。
In the near-infrared spectroscopy experiments,due to various factors,each spectrum would be affected by noise,and also there were different degrees of noise with a different band of spectrum. In order to explore the effects of different levels of noise on the denoising of near-infrared spectroscopy data,in this paper,three smoothing methods was used to perform sub-band denoising of maghemite near-infrared spectroscopy,and the ratio of SNR and MSE were used as an evaluation standard to analyae the denoising results. Experimental results showed that three smoothing methods had their own denoising advantages under the influence of different degrees of noise in different bands providing a basis for the selection of noise-reducing methods for different degrees of noise in different bands. A combination of denoising methods for maghemite near-infrared spectroscopy data was proposed,which was composed of different smoothing denoising methods and had better denoising effect than the single smooth denoising method.
In the near-infrared spectroscopy experiments,due to various factors,each spectrum would be affected by noise,and also there were different degrees of noise with a different band of spectrum. In order to explore the effects of different levels of noise on the denoising of near-infrared spectroscopy data,in this paper,three smoothing methods was used to perform sub-band denoising of maghemite near-infrared spectroscopy,and the ratio of SNR and MSE were used as an evaluation standard to analyae the denoising results. Experimental results showed that three smoothing methods had their own denoising advantages under the influence of different degrees of noise in different bands providing a basis for the selection of noise-reducing methods for different degrees of noise in different bands. A combination of denoising methods for maghemite near-infrared spectroscopy data was proposed,which was composed of different smoothing denoising methods and had better denoising effect than the single smooth denoising method.
引文
[1]Tom Fearn.On orthogonal signal correction[J].Chemometrics and Intelligent Laboratory Systems,2000(50):47-52.
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[3]Xiang Guo,Yulong Li,Tao Suo,Jin Liang.De-noising of digital image correlation based on stationary wavelet transform[J].Optics and Lasers in Engineering,2017.
[4]Yong Chen,Yanan Cheng,Huanlin Liu.Application of improved wavelet adaptive threshold de-noising algorithm in FBG demodulation[J].Optik-International Journal for Light and Electron Optics,2017.
[5]陈媛媛,王志斌,王召巴.一种基于蝙蝠算法的新型小波红外光谱去噪方法[J].红外,2014,35(6):30-35.
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[7]蔡剑华,肖永良,黎小琴.基于广义S变换和奇异值分解的近红外光谱去噪[J].光学学报,2018,38(4):390-399.
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[9]方勇华,孔超,兰天鸽,等.应用小波变换实现光谱的噪声去除和基线校正[J].光学精密工程,2006(6):1088-1092.
[10]郭媛,赵学玒,张锐,等.小波变换应用于谐波谱线的噪声滤除与基线校正[J].光谱学与光谱分析,2013(8):2172-2176.
[11]Thouis R.Jones,Frédo Durand,Mathieu Desbrun.Non-iterative,feature-preserving mesh smoothing[J].ACM Transactions on Graphics(TOG),2003,22(3).
[2]Hunt GR,Salisbury JW,and Lenhoff GJ.Visible and near-infrared spectra of minerals minerals and rocks:Oxides and hyoxides[J].Modem Geology,1978(2):195-205.
[3]Xiang Guo,Yulong Li,Tao Suo,Jin Liang.De-noising of digital image correlation based on stationary wavelet transform[J].Optics and Lasers in Engineering,2017.
[4]Yong Chen,Yanan Cheng,Huanlin Liu.Application of improved wavelet adaptive threshold de-noising algorithm in FBG demodulation[J].Optik-International Journal for Light and Electron Optics,2017.
[5]陈媛媛,王志斌,王召巴.一种基于蝙蝠算法的新型小波红外光谱去噪方法[J].红外,2014,35(6):30-35.
[6]Magnusson A,Hrd S.Four-level phase grating generated by combination of two binary gratings through coherent imaging.[J].Applied Optics,2008,39(32).
[7]蔡剑华,肖永良,黎小琴.基于广义S变换和奇异值分解的近红外光谱去噪[J].光学学报,2018,38(4):390-399.
[8]A.M.Reynolds.Cooperative random Lévy flight searches and the flight patterns of honeybees[J].Physics Letters A,2006,354(5).
[9]方勇华,孔超,兰天鸽,等.应用小波变换实现光谱的噪声去除和基线校正[J].光学精密工程,2006(6):1088-1092.
[10]郭媛,赵学玒,张锐,等.小波变换应用于谐波谱线的噪声滤除与基线校正[J].光谱学与光谱分析,2013(8):2172-2176.
[11]Thouis R.Jones,Frédo Durand,Mathieu Desbrun.Non-iterative,feature-preserving mesh smoothing[J].ACM Transactions on Graphics(TOG),2003,22(3).