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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Detalles Bibliográficos
Autores principales: Li, Guibing, Jin, Weidong, Miao, Jiaqing, Tan, Ying, Li, Yingling, Zhang, Weixuan, Li, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048400/
https://www.ncbi.nlm.nih.gov/pubmed/36981411
http://dx.doi.org/10.3390/e25030523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048400/
https://www.ncbi.nlm.nih.gov/pubmed/36981411
http://dx.doi.org/10.3390/e25030523

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