A new total generalized variation induced spatial difference prior model for variational pansharpening
A new total generalized variation induced spatial difference prior model for variational pansharpening
复制标题
用于变分全色锐化的新的总广义变分诱导空间差异先验模型
DOI：
10.1080/2150704x.2019.1597299
复制
发表时间：
2019-03
影响因子：
2.3
通讯作者：
Pengfei Liu
中科院分区：
文献类型：
--
作者：
Pengfei Liu
摘要这封信提出了一种新的有效的总体广义变异（TGV）引起的空间差异模型，用于变异pansharpening问题，该模型旨在估算其低分辨率的高分辨率（HR）多光谱（MS）图像
ABSTRACT This letter proposed a new and effective total generalized variation (TGV) induced spatial difference prior model for variational pansharpening problem, which aimed to estimate a high-resolution (HR) multispectral (MS) image from its low-resolution (LR) version and the corresponding HR panchromatic (Pan) image of the same earth scene. In addition to using the local spectral consistency constraint for spectral information preserving, this letter particularly exploited the spatial difference prior between the HR-MS and Pan images, and hence proposed a new TGV-induced spatial difference prior term for spatial information preserving. Then, an efficient optimization algorithm was designed for solving the proposed model under the fast iterative shrinkage-thresholding algorithm (FISTA) framework. Finally, the experimental results validated that the proposed method performed higher spatial and spectral qualities than various methods in both the subjective and objective aspects.
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影响因子：
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