Striping is an important factor that influences image quality acquired by linear array CCD blocks.This may be more crucial for spectrometers because of the imperfect calibration of the detector characteristics and the necessity of higher CCD quality

which results in the most common striping.This paper firstly discussed the main reason causing stripes.Then we compared some striping removal algorithms and their limitations.Based on this consideration

we point out that the standard moment matching method changes the mean value distrbution of image in line or column arrangement.This is especially the case for small size images.We present some approaches to simulate and calibrate the image gray value distribution.The purpose of these methods we embraced here is to recover the truth of the mean value distribution of ground radiance.As an emphasis

we mainly discussed the theories and processes of three kinds of mean value fitting approaches:the mean value compensation method

Fourier transformation method and correlation method. After discussing the methods

we used an 890×770 size test image acquired by an imaging spectrometer to experiment our theories.Through combining moment matching with these post-processing techniques

we successfully reduced stripes and improved the image quality.Finally

we visually and quantitatively assessed the quality of the resulted images.