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成像光谱仪辐射测量一致性校正中插值方法选择
引用本文:Chen X,Xiang Y,Feng YT. 成像光谱仪辐射测量一致性校正中插值方法选择[J]. 光谱学与光谱分析, 2011, 31(4): 1147-1150. DOI: 10.3964/j.issn.1000-0593(2011)04-1147-04
作者姓名:Chen X  Xiang Y  Feng YT
作者单位:1. 中国科学院长春光学精密机械与物理研究所,应用光学国家重点实验室,吉林长春130033;中国科学院研究生院,北京100049
2. 中国科学院长春光学精密机械与物理研究所,应用光学国家重点实验室,吉林长春130033
3. 中国科学院西安光学精密机械与物理研究所,光谱成像技术重点实验室,陕西西安,710119
基金项目:国家自然科学基金重点项目,国家(863计划)项目
摘    要:谱线弯曲破坏了色散型成像光谱仪光谱辐射能量采集的一致性,采用插值的办法对系统采集到的辐射能最数据依据无偏离波长定标数据重新采样,可以提高光谱辐射测量的一致性.选择恰当的插值采样方法尤为重要,直接影响校止后辐射能量偏差的剩余量,决定了校正效果的好坏.采用常用的线性、三点二次多项式、四点三次Lagrange、五点四次Lag...

关 键 词:插值  辐射能量校正  光谱偏离  成像光谱仪

Selection of interpolation methods used to mitigate spectral misregistration of imaging spectrometers
Chen Xu,Xiang Yang,Feng Yu-Tao. Selection of interpolation methods used to mitigate spectral misregistration of imaging spectrometers[J]. Spectroscopy and Spectral Analysis, 2011, 31(4): 1147-1150. DOI: 10.3964/j.issn.1000-0593(2011)04-1147-04
Authors:Chen Xu  Xiang Yang  Feng Yu-Tao
Affiliation:State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China. chxu2009@126.com
Abstract:Spectral curvature destroys the co-registration of the spectra measured by dispersion imaging spectrometer. Using interpolation to re-sample the measured spectra at the non-offset mid-wavelengths can mitigate the spectral misregistration. It is very important to select an optimum interpolation method. The performances of six common interpolation methods are evaluated by comparing the residual errors in the corrected spectral radiance. The results indicate that, four-point cubic Lagrange interpolation and cubic spline interpolation are better than other four interpolation methods (linear Interpolation, three points quadratic polynomial interpolation, five points four-order Lagrange interpolation and cubic Hermite interpolation). For spectral offset of 10% deltalambda (deltalambda = 5 nm), the normalized errors in measured spectral radiance is PV = 0.06, that is reduced to PV < 0.022 after interpolation with cubic Lagrange interpolation or cubic spline interpolation, but for other four methods they are PV > 0.035. Furthermore, for lower spectral resolution (deltalambda > 5 nm), cubic Lagrange interpolation is a little better than cubic spline interpolation; while for higher spectral resolution (deltalambda < 5 nm), cubic spline interpolation is a little better.
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