Owing to the effects of the bigger Field-of-View (FOV), atmospheric attenuation, non-Lambertian reflectance of ground objects and the sun-object-sensor geometry, the radiance of airborne hyperspectral imaging spectrometer image tends to be distorted along the scanning lines, and hence it is difficult to use these data directly for quantitative or semi-quantitative applications. This study tried to correct the radiometric distortion of hyperspectral images of OMIS-II (Operative Modular Imaging Spectrometer) by using histogram matching and moment matching algorithms. The results indicate that, for space dimension, the two methods are all capable of retrieving the information of the blurred image edge, with no difference between them, whereas for spectrum dimension, moment matching is more fit for edge radiation distortion correction of OMIS-II.