Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation

Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation

The enormous amount of data that are generated by hyperspectral remote sensing images (HSI) combined with the spatial channel’s limited and fragile bandwidth creates serious transmission, storage, and application challenges. HSI reconstruction based on compressed sensing has become a frontier area,...

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Bibliographic Details
Main Authors: Shicheng Xie, Shun Wang, Chuanming Song, Xianghai Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
hyperspectral images reconstruction
compressed sensing
joint spectral dimensional plane
Gaussian mixture model (GMM)
low-rank decomposition
sparse constraints
Online Access:https://www.mdpi.com/2072-4292/14/17/4184

Internet

https://www.mdpi.com/2072-4292/14/17/4184

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