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作 者:郭萌 吴玲玲[1] 陈靖[1] 李谱林 GUO Meng;WU Lingling;CHEN Jing;LI Pulin(School of Optoelectronic Engineering,Xi an Technological University,Xi an 710021,China)
出 处:《激光技术》2024年第5期657-664,共8页Laser Technology
摘 要:为了解决可见光光谱辐射计波长标定过程中存在的峰值偏移、较弱特征谱误判及人工谱线识别等问题,采用自适应阈值法和差分法完成对特征谱检测与识别,利用最小二乘法和拉格朗日插值法确定波长和像元的关系,进行了理论分析和实验验证,获得最佳波长标定方程。结果表明,特征谱根据谱线强度依次被检测并识别出来,以404.6565 nm、435.8335 nm、546.0750 nm、579.0670 nm为基准的拉格朗日插值法得到的方程为最佳波长标定方程,其残差标准差仅为3.2747×10^(-13)nm,波长标定误差分布在±0.2 nm范围内。自动谱线检测方法及谱线识别方法提高了波长标定效率,避免了噪声误判和谱线识别错误现象,为其它光谱类仪器的波长标定提供了参考。In order to solve the problems of peak shift,weak feature spectrum misjudgment,and artificial spectral line recognition in the wavelength calibration process of visible light spectroradiometers,the adaptive threshold method and the differential method were used to detect and recognize the feature spectrum.Meanwhile,the relationship between wavelength and pixel was determined using the method of least squares and Lagrange interpolation.Theoretical analysis and experimental verification were carried out and the optimum wavelength calibration equation was obtained.The results show that the feature spectrum is detected and recognized sequentially based on the intensity of the spectral lines.The optimal equation was obtained by the Lagrange interpolation method based on 404.6565 nm,435.8335 nm,546.0750 nm,and 579.0670 nm,with a residual standard deviation of only 3.2747×10^(-13)nm,the wavelength calibration error distribution is within the range of±0.2 nm.Therefore,this method improves the efficiency of wavelength calibration.It also avoids noise misjudgment and spectral line recognition error and provides reference for wavelength calibration of other spectral instruments.
关 键 词:光谱学 波长标定 自适应阈值谱线检测 特征峰识别
分 类 号:TH744[机械工程—光学工程] O433[机械工程—仪器科学与技术]
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