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Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution †

Hyperspectral imaging is capable of acquiring the rich spectral information of scenes and has great potential for understanding the characteristics of different materials in many applications ranging from remote sensing to medical imaging. However, due to hardware limitations, the existed hyper-/mul...

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Détails bibliographiques
Publié dans:Sensors (Basel)
Auteurs principaux: Han, Xian-Hua, Sun, Yongqing, Wang, Jian, Shi, Boxin, Zheng, Yinqiang, Chen, Yen-Wei
Format: Artigo
Langue:Inglês
Publié: MDPI 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6960746/
https://ncbi.nlm.nih.gov/pubmed/31817912
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19245401
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