Theoretical and practical analysis of spatial and spectral calibration of static Fourier transform infrared spectrometers

Abstract

Static Fourier transform spectrometers require, especially in the infrared, a spatial calibration step. Unfortunately, the superposition of fringes on the measured images has a major impact on spatial calibration and therefore on the returned spectra. We first study how to pre-process images so that spectral errors are minimized. Then, we develop a spectrum formation model that is used to correct those spectral errors. The performance, evaluated on synthetic data, is remarkable and theoretically justifies the use of this calibration concept.

Dual-Interference Channels Static Fourier Transform Imaging Spectrometer Based on Stepped Micro-Mirror: Data Processing and Experiment Research

“…To realize the specific application of an interference imaging spectrometer in remote sensing, data processing of the initial interferometric image data detected by the instrument to obtain the target image, spectra, and inversion of the information is an essential part of the process. Many general-purpose data processing algorithms relating to IFTS have been proposed [16][17][18][19][20][21][22][23]. However, with the gradual development of Fourier transform imaging spectroscopy technology, general-purpose data processing technology is gradually no longer able to meet the application requirements of various IFTS.…”