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Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021) · cited 20× · AI/ML
Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior
Summary
Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior is a scholarly article[1].
Key Facts
Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperspectral-image-superresolution-using-global-gradient-sparse-and-nonlocal-low-rank-tensor-decomposition-with-hyper-l
MLA“Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperspectral-image-superresolution-using-global-gradient-sparse-and-nonlocal-low-rank-tensor-decomposition-with-hyper-l.
BibTeX@misc{4ortxyz_hyperspectral-image-superresolution-using-global-gradient-sparse-and-nonlocal-low-rank-tensor-decomposition-with-hyper-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior}}, year = {2026}, url = {https://4ort.xyz/entity/hyperspectral-image-superresolution-using-global-gradient-sparse-and-nonlocal-low-rank-tensor-decomposition-with-hyper-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hyperspectral Image Superresolution Using Global Gradient Sparse and Nonlocal Low-Rank Tensor Decomposition With Hyper-Laplacian Prior — https://4ort.xyz/entity/hyperspectral-image-superresolution-using-global-gradient-sparse-and-nonlocal-low-rank-tensor-decomposition-with-hyper-l (retrieved 2026-05-24)
