Corrective method for spectral offset error caused by radial distortion in the large aperture static imaging spectrometer
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摘要:为提高大孔径静态干涉成像光谱仪在视场增大时的光谱定标精度,减小径向畸变对光谱精度的影响,本文提出一种基于光谱——畸变关联模型的光谱定标系数修正方法,给出了波数和波长修正公式。采用594.1 nm和632.8 nm气体 器对成像光谱仪进行了光谱成像实验,并对数据进行了处理和分析。结果表明,当存在0.3%的桶形畸变时,边缘视场的反演光谱存在2 nm左右的偏移,利用本文方法校正后,谱线偏移减小到0.1 nm左右。该方法仅需根据镜头畸变参数即可完成修正,简化了实验室光谱定标流程,提高了工作效率,也可应用于星载干涉光谱数据的在轨参数校正。
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关键词:
- 大孔径静态干涉成像光谱仪/
- 光谱定标/
- 误差校正/
- 畸变模拟
Abstract:In order to improve the spectral calibration accuracy of the large aperture static imaging spectrometer when its field of view is increased, and to reduce the influence of radial distortion on its spectral accuracy, we propose a corrective method for spectral calibration coefficients based on a spectral distortion correlation model. To begin the process, the wave number and wavelength correction formulas are given. Using 594.1 nm and 632.8 nm gas lasers, a spectroscopic imaging experiment was performed on the imaging spectrometer, and the data was processed and analyzed. The results show that when there is a barrel distortion of 0.3%, the inversion spectrum at the edge of the field of view shifts approximately 2 nm. After implementing the corrective method of this paper, the line shift is reduced to approximately 0.1 nm. This method only needs to be corrected according to the lens distortion parameters, which simplifies the laboratory spectral calibration process and improves work efficiency. It can also be applied to the orbit parameter correction of spaceborne interference spectral data. -
表 1 中心波长对比
Table 1.Comparison of the lasers’ center wavelength
像元 中心波长/nm 参考值$ {\lambda }_{0} $ 校正前$ \lambda $ 误差$ \left|\lambda -{\lambda }_{0}\right| $ 校正后$ \lambda {'} $ 误差$ \left|\lambda {'}-{\lambda }_{0}\right| $ 100 594.1 595.5762 1.4762 594.0097 0.0903 400 594.7603 0.6603 594.0126 0.0874 1000 594.1342 0.0342 594.1260 0.0260 1100 594.1342 0.0342 594.1328 0.0328 1700 594.7186 0.6186 594.0594 0.0406 2000 595.4506 1.3506 594.0136 0.0864 100 632.8 634.5429 1.7429 632.8221 0.0221 400 633.5693 0.7693 632.7368 0.0632 1000 632.8351 0.0351 632.8221 0.0221 1100 632.8114 0.0114 632.8110 0.0110 1700 633.3796 0.5796 632.7107 0.0893 2000 634.1151 1.3151 632.6337 0.1663 -
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