A Spectral Calibration Approach For Snapshot Image Mapping Spectrometer (Ims)

The snapshot image mapping spectrometer (IMS) is a hyper-spectral imaging system that simultaneously captures spatial and spectral information about an object in a single integral time. The spectral calibration can help to obtain accurate 3D datacube of the objects. This paper proposes a new approach to improve the spectral calibration accuracy of the instrument. By adding a slit mask into the optical path to reduce crosstalk, the accuracy of each sub pupil center and spectral channel location can be improved. The calibration process is simulated to analyze the effects of the size and position designed for the mask. The analysis results show that the calibration accuracy of each sub pupil center position and spectral channel position for IMS is 3 mu m, which is significantly improved than the calibration accuracy 10.5 mu m without the mask.