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Study on the spectrum reconstruction and relative radiometric calibration of interference imaging spectrometer

Interference imaging spectroscopy is an advanced subject of high resolution remote sensing, and has become an important technique to acquire more spectrum information. The digital processing process of spectrum reconstruction must be executed to get spectrum because the raw data can't be used directly. In this paper, take the SMIFTS, a new payload of the HJ-1A satellite, as an example. The principle of SMIFTS and its data cube characters are introduced. The spectrum reconstruction processing process is studied. A method of relative radiometric calibration is provided to generate the CCD models of detectors in this paper, which based on statistics method, and using real data of HJ-1A satellite to verify. The results indicate that this method can correct the differences of CCD response and imported light filed. It is also beneficial to reduce the nonlinear phase offset of interfere data, and can improve the precision of spectrum reconstruction.