Abstract: Traditional moment matching algorithm can change the line average or column average of images and cause the original image information change. After analyzing HJ-1-A satellite hyperspectral images,an improved algorithm of Moment Matching was put forward. The proposed algorithm uses the column average and variance which was processed with smooth filter instead of the average and standard deviation of the reference image in traditional moment matching algorithm. Comparing with the traditional algorithm,it has advantages of less image information loss and effectively destriping the strips under the premise of maintaining the original image features. The method has a strong applicability for destriping other multi-sensor remote sensing images.

Key words: Moment matching, Smooth filter, Destriping, Hyperspectral image