Model-Guided Deep Unfolded Fusion Network With Nonlocal Spatial-Spectral Priors for Hyperspectral Image Super-Resolution

Due to the physical boundaries, fusing low spatial resolution hyperspectral (LrHSI) with high spatial resolution multispectral (HrMSI) images is a hot and promising area for obtaining hyperspectral that have high spatial-spectral resolution images (HrHSI). Effectively formulating the fundamental fea...

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Principais autores:	Abdolraheem Khader, Jingxiang Yang, Liang Xiao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Deep learning global spectral correlation hyperspectral and multispectral images fusion imaging systems subspace representation
גישה מקוונת:	https://ieeexplore.ieee.org/document/10114568/
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