An improved approach based on Moment Matching to Destriping for Hyperion data

Abstract Hyperion data are always contaminated by serious vertical striping artefacts, which obscure the true radiation information in the images and reduce the accuracy of Hyperspectral images, therefore, the stripped columns must be corrected before performing further processing and quantitative analyses. This paper introduces the principle of moment matching method, emphasizes the analysis of the formative reason for “edge effect”, and then proposes an improved approach to destripe Hyperion data. Two other methods for destriping have been introduced as well in this paper to compare with the proposed method from both visual effect and quantitative assessment. It turns out that the improved method based on moment matching could achieve the greatest effect for destriping Hyperion data.