大孔径静态干涉成像光谱仪径向畸变导致的谱线偏移误差的校正

安玲坪; 王爽; 张耿; 李娟; 刘学斌

doi:10.37188/CO.2020-0084

大孔径静态干涉成像光谱仪径向畸变导致的谱线偏移误差的校正

doi: 10.37188/CO.2020-0084

安玲坪^{1, 2,},
王爽^1, ,,
张耿¹,
李娟¹,
刘学斌¹

1.
中国科学院西安光学精密机械研究所光谱成像技术重点实验室，陕西西安 710119
2.
中国科学院大学北京 100049

基金项目: 国家重点研发计划项目（No. 2018YFB0504900，No. 2018YFB0504901）

详细信息

作者简介:
安玲坪(1996—)，女，山西忻州人，博士研究生，2018年于太原理工大学获得学士学位，主要从事光谱成像仪器定量化技术研究。E-mail：anlingping@opt.cn

王爽：王　爽(1980—)，男，黑龙江东宁人，博士，研究员，硕士生导师，2002年、2006年于北京理工大学分别获得学士、硕士学位，2014年于中国科学院西安光学精密机械研究所获得博士学位，主要从事光谱成像理论与仪器开发、光谱成像数据处理与定量化研究。E-mail：wangshuang@opt.ac.cn

中图分类号: TP751.1
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- 被引次数: 0
出版历程
- 收稿日期: 2020-05-08
- 修回日期: 2020-06-15
- 网络出版日期: 2021-02-08
- 刊出日期: 2021-04-01

Corrective method for spectral offset error caused by radial distortion in the large aperture static imaging spectrometer

AN Ling-ping^{1, 2
,},
WANG Shuang^{1
, ,},
ZHANG Geng¹,
LI Juan¹,
LIU Xue-bin¹

1.
Key Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: Supported by National Key R&D Program of China (No. 2018YFB0504900, No. 2018YFB0504901)

More Information

Corresponding author: wangshuang@opt.ac.cn

摘要

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气体激光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。
- 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.
- Large Aperture Static Imaging Spectrometer (LASIS) /
- spectral calibration /
- error correction /
- distortion simulation

HTML全文

图 1 LASIS结构示意图

Figure 1. Schematic diagram of LASIS structure

下载: 全尺寸图片幻灯片

图 2 LASIS干涉原理示意图

Figure 2. Schematic diagram of LASIS interference

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图 3 径向畸变效果图

Figure 3. Diagram of the radial distortion effects

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图 4 仿真试验流程图

Figure 4. Flow chart of the simulation experiment

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图 5 Matlab模拟结果

Figure 5. Matlab simulation results

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图 6 光谱定标实验示意图

Figure 6. Schematic diagram of the spectral calibration experiment

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图 7 激光干涉图

Figure 7. Interferogram of the lasers

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图 8 激光三视场归一化反演光谱

Figure 8. The normalized inversion spectra of the three fields of view of the lasers

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图 9 光谱定标误差校正

Figure 9. Correction of spectral calibration

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图 10 氧气红外吸收带

Figure 10. Absorption band of oxygen in infrared wavelengths

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表 1 激光中心波长对比

Table 1. Comparison of the lasers’ center wavelength

像元	中心波长/nm
像元	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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