Fusion of Hyperspectral and Multispectral Images With Sparse and Proximal Regularization

Fusion of Hyperspectral and Multispectral Images With Sparse and Proximal Regularization

Fusion of hyperspectral and multispectral imagery data is utilized to reconstruct a super-resolution image with high spectral and spatial resolution, which plays a significant role in remote sensing image processing. Conversely, hyperspectral and multispectral data can be modeled as two low-dimensio...

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Bibliographic Details
Main Authors: Feixia Yang, Ziliang Ping, Fei Ma, Yanwei Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Proximal regularization
coupled non-negative matrix factorization
data fusion
minimum volume
alternating optimization
Online Access:https://ieeexplore.ieee.org/document/8937525/

Internet

https://ieeexplore.ieee.org/document/8937525/

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