Imaging spectrum reconstruction of a spatial heterodyne imaging spectrometer.

Abstract

Spatial heterodyne scanning imaging combines the advantages of spatial heterodyne spectroscopy and imaging technology. It can obtain images and spectral information simultaneously with the characteristics of high spectral resolution, high flux, and small volume and can achieve spectral restoration of all target points in the measured area through scan imaging only once. When two-dimensional spatial information and one-dimensional spectral information are obtained, the imaging spectrum data cube is generated. Using MATLAB and ZEMAX as simulation software, image information with interference fringes was constructed, and the distribution of interference information was explored. A potassium lamp, xenon lamp, and tungsten lamp were used as different light sources to perform validation. Because of the influence of the scanning displacement error on the accuracy of interference information extraction, an algorithm for image spectrum reconstruction is proposed based on the principle of distribution of interference information. The speed-up robust features algorithm was used for image registration to improve accuracy. The experimental results show that the spectral information under the three light sources can be reconstructed, which corresponds to the standard spectrum from the optical fiber spectrometer. The feasibility of this imaging spectrum reconstruction has been preliminarily verified, and the spectral information of the desired target can be directly extracted from the data cube.