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25 September 2018 A smile effect correction method for dispersive imaging spectrometer based on simultaneous radiometric and spectral calibration
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Abstract
The hyperspectral imageries obtained from dispersive imaging spectrometer often contain significant cross-track spectral curvature nonlinearity disturbances, known as the smile/frown effect, which is due to the change of dispersion angle with field position. The smile effect must be corrected because the across-track wavelength shift from band-center wavelength alters the pixel spectra and reduces the application effect of classification and target recognition. There are several methods to correct the smile effect which don’t take into account the fact that the smile effect is woven together with the sensor radiation characteristic. Individually processing spectra distortion to correct the smile effect would renewably lead to radiometric distortion of the radiometric correction image. A new method is proposed to deal with this problem. An experiment based on the proposed method is conducted. Hyperspectral images are acquired from an UAV airborne Offner Spectral Imager which has a spectral coverage of 0.395~1.028μm. The band of corrected image at 760nm, the absorption peak of O2, has become consistent which shows that the smile effect is effectively removed, and meanwhile the radiometric correction result is finely reserved.
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Chuncheng Zhou, Chuanrong Li D.D.S., Wenjing He, Lingling Ma, and Yongguang Zhao "A smile effect correction method for dispersive imaging spectrometer based on simultaneous radiometric and spectral calibration", Proc. SPIE 10785, Sensors, Systems, and Next-Generation Satellites XXII, 107851W (25 September 2018); https://doi.org/10.1117/12.2501444
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