MAP super-resolution reconstruction of remote sensing image

Liu, Tao; Feng, 钱锋 Qian; Bao, 张葆 Zhang

doi:10.3788/yjyxs20183310.0884

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Super-resolution Reconstruction Methods Based On Reconstruction1

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“…The reconstruction-based maximum posteriori (MAP) method is more flexible, especially in the regular terms of the MAP method; one can freely add specific constraints on specific problems. For example, Tao et al 29 introduced the Markov random field model on the basis of MAP to achieve SR reconstruction of sequence images. Markov random field theory imposes regularization constraints on LR to achieve rapid convergence and improve SR. Irmak et al 30 proposed an improved method based on maximum posteriori-Markov random field (MAP-MRF) to enhance the spatial resolution of hyperspectral images.…”

Section: Super-resolution Reconstruction Methods Based On Reconstructionmentioning

confidence: 99%