Volume 10 Issue 3
May  2017
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MAO Jing-hua, WANG Yong-mei, SHI En-tao, ZHAGN Zhong-mou, JIANG Fang. Spectral calibration based on echelle[J]. Chinese Optics, 2017, 10(3): 376-382. doi: 10.3788/CO.20171003.0376
Citation: MAO Jing-hua, WANG Yong-mei, SHI En-tao, ZHAGN Zhong-mou, JIANG Fang. Spectral calibration based on echelle[J]. Chinese Optics, 2017, 10(3): 376-382. doi: 10.3788/CO.20171003.0376

Spectral calibration based on echelle

cstr: 32171.14.CO.20171003.0376
Funds:

National Natural Science Foundation of China 41005013

  • Received Date: 12 Jan 2017
  • Rev Recd Date: 28 Mar 2017
  • Publish Date: 01 Jun 2017
  • Spectral calibration is the premise of remote sensing data inversion. Considering the advantages of a large field, wide wavelength range, high spatial and spectral resolution, the spectral calibration equipment based on echelle is built. Working at a higher blazed order with a large blaze angle, the echelle is characterized by a wide spectrum range and high spectral resolution. It can output multiple spectral lines with uniform distribution in the detection band, which overcomes the shortcomings of the traditional calibration methods and improves the calibration accuracy. In our study, the working principle of the spectral calibration equipment is given first. Then using this equipment, the spectral calibration equation of the hyperspectral imaging spectrometer is given accurately by peak-searching and regression analysis. Finally, the calibration results are verified by using the unique characteristics of mercury spectral lines. The experiment results show that there is a approximate linear distribution between pixel and wavelength. The uncertainty of the wavelength calibration is 0.025 8 nm, and the maximum deviation of calibration values and standard deviation values of mercury spectral lines is less than 0.043 5 nm, which can prove the accuracy of the calibration results.

     

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