Remote Sensing Image of The Landsat 8–9 Compressive Sensing via Non-Local Low-Rank Regularization with the Laplace Function

Remote Sensing Image of The Landsat 8–9 Compressive Sensing via Non-Local Low-Rank Regularization with the Laplace Function

Utilizing low-rank prior data in compressed sensing (CS) schemes for Landsat 8–9 remote sensing images (RSIs) has recently received widespread attention. Nevertheless, most CS algorithms focus on the sparsity of an RSI and ignore its low-rank (LR) nature. Therefore, this paper proposes a new CS reco...

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Bibliografische gegevens
Hoofdauteurs: Guibing Li, Weidong Jin, Jiaqing Miao, Ying Tan, Yingling Li, Weixuan Zhang, Liang Li
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-03-01
Reeks:Entropy
Onderwerpen:
compressed sensing (CS)
non-local (NL)
Laplace function (LF)
ADMM
Landsat 8–9 remote sensing images (LRSIs)
Online toegang:https://www.mdpi.com/1099-4300/25/3/523

Internet

https://www.mdpi.com/1099-4300/25/3/523

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