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Data · dataset · 2016

Pan-sharpening with Structural Consistency and L1/2 Gradient Prior

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In this letter, a variational method is proposed for pan-sharpening by fusing a low resolution multispectral (LRMS) image with a high resolution panchromatic (PAN) image to generate a high resolution multispectral (HRMS) image.

Description

Most methods focus on spatial intensity preservation while the proposed method tends to preserve the consistency of the spatial structure information. In addition, an L 1 -aL 2 metric is used to estimate L 1/2 gradient prior.

The alternating direction method of multipliers (ADMM) and the difference of convex algorithm (DCA) are used to guarantee the convergence of the algorithm. A large number of experiments show that the proposed method has obvious advantages compared with other advanced methods both subjectively and objectively.

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DataCite10.6084/m9.figshare.3412381.v414 d agoJSON v1
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