SLRCNN: Integrating sparse and low-rank with a CNN denoiser for hyperspectral and multispectral image fusion

SLRCNN: Integrating sparse and low-rank with a CNN denoiser for hyperspectral and multispectral image fusion

Fusion of hyperspectral image (HSI) and multispectral image (MSI) is a prevalent scheme to generate a HSI with enhanced spatial resolution. Current methods often fail to sufficiently leverage the effective spectral and spatial priors existing in the observed HSI and MSI to further enhance the fusion...

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Bibliographic Details
Main Authors: Li Li, Hongjie He, Nan Chen, Xujie Kang, Baojie Wang
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Hyperspectral and multispectral images fusion
Spectral dictionary
Spatial coefficient
Sparse
Local low-rank
CNN denoiser
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224005831

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http://www.sciencedirect.com/science/article/pii/S1569843224005831

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