Spectral Calibration Method For All-Reflected Fourier Transform Imaging Spectrometer

All-Reflected Fourier Transform Imaging Spectrometer (ARFTIS) is a novel type of instrument based on Fourier transform spectroscopy. ARFTIS will offer high luminous flux and high spectral resolution, well suited to remote sensing with low energy. But there is nearly not any method of convenient spectrum calibration for this kind of instrument. In this paper, we analyze the spectrum calibration principle of ARFTIS and the cause of the calibration error. We reached the result that the calibration error is getting bigger with the increase of spectrum peak wavelength of the calibration light. By these we develop three convenient spectrum calibration methods used in Visible/Near-Infrared waveband, which are the Monochromatic Method, the Average Method and the Weighted Average Method respectively. We apply these methods to ARFTIS calibrate experiment. According to the experiment results, The Monochromatic Method can calibrate by using only one group of data, but with a little lower calibration precision. However the Weighted Average Method can provide a higher calibration precision than the other two methods. So, the Monochromatic method and the Weighted Average Method both have good application value for ARFTIS calibration.