Volume 14 Issue 2
Mar.  2021
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AN Ling-ping, WANG Shuang, ZHANG Geng, LI Juan, LIU Xue-bin. Corrective method for spectral offset error caused by radial distortion in the large aperture static imaging spectrometer[J]. Chinese Optics, 2021, 14(2): 382-389. doi: 10.37188/CO.2020-0084
Citation: AN Ling-ping, WANG Shuang, ZHANG Geng, LI Juan, LIU Xue-bin. Corrective method for spectral offset error caused by radial distortion in the large aperture static imaging spectrometer[J]. Chinese Optics, 2021, 14(2): 382-389. doi: 10.37188/CO.2020-0084

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

Funds:  Supported by National Key R&D Program of China (No. 2018YFB0504900, No. 2018YFB0504901)
More Information
  • Corresponding author: wangshuang@opt.ac.cn
  • Received Date: 08 May 2020
  • Rev Recd Date: 15 Jun 2020
  • Available Online: 08 Feb 2021
  • Publish Date: 23 Mar 2021
  • 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.

     

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