Lei Yu. Development and application of imaging spectrometer (Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210940

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- Infrared and Laser Engineering
- Vol. 51, Issue 1, 20210940 (2022)

Fig. 1. Portions of the datacube collected during a single observing integration period for different imaging spectrometers

Fig. 2. Main principle of filter imaging spectrometers: (a) Interference filter;(b) Acousto-optic tunable filter;(c) Lyot-Ohman liquid crystal birefingent tunable filter;(d) Fabry-Perot etalon;(e) Array filter; (F) Linear variable filter

Fig. 3. Dispersive imaging spectrometers: (a) Prism imaging spectrometer; (b) Czerny-Turner imaging spectrometer; (c) Offner imaging spectrometer; (d) Dyson imaging spectrometer; (e) Schwarzschield imaging spectrometer; (f) PGP imaging spectrometer

Fig. 4. Principle diagram of interferometric imaging spectrometers

Fig. 5. Snapshot imaging spectrometers: (a) Computed tomographic imaging spectrometer (CTIS); (b) Coded aperture snapshot imaging spectrometer (CASSI); (c) Filter stack spectral decomposition (FSSD) imaging spectrometer; (d) Fiber-reformatting imaging spectrometer (FRIS); (e) Integral field spectroscopy with lenslet arrays (IFS-L) imaging spectrometer; (f) Image mapping imaging spectrometer (MSI)

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