An Infrared Spectral Calibration Method Based on Material Characteristic Spectrum

Abstract Spectral calibration is one of the key technologies for quantitative application of imaging spectrometer. Based on analyzing the spectral calibration principle of Fourier transform imaging spectrometer, a spectral calibration method of long-wave infrared imaging spectrometer based on material characteristic spectrum is proposed in this paper. Polypropylene film and surface blackbody are employed for spectral calibration experiment. Using surface blackbody for temperature control, the interference data of polypropylene film at different temperatures are collected and the position of absorption peaks of polypropylene film are obtained, which compared with the position of the standard absorption peaks of polypropylene film, and the result proved that the proposed method has high calibration accuracy and good stability, and has reliable reference value for spectral calibration of long-wave infrared imaging spectrometer.