光谱变化中基于Schatten-0范数正则化的高光谱和多光谱图像融合OA北大核心CSTPCD

Hyperspectral and multispectral image fusion aims to obtain high-quality images with both high spatial resolution and high spectral resolution.However,for hyperspectral and multispectral image fusion account for spectral variability,the total variation regulari-zation method only models the local property of the images in the spatial gradient domain,without considering the high-order correlation between the spectral information of the hyperspectral image.Targeting at the above problem,a Schatten-0 regularizer is introduced to re-alize the modeling of high order correlation of spectral information,and a hyperspectral and multispectral image fusion method based on Schatten-0 norm regularization is proposed.The alternating direction method of multipliers(ADMM)is used to solve the related fusion problem.The subproblem corresponding to the Schatten-0 regularizer is solved by using hard threshold iterative shrinkage algorithm.The simulation results verify the feasibility and effectiveness of the proposed method,which can provide theoretical and technical support for more practical and general hyperspectral and multispectral image fusion applications.