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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Detalles Bibliográficos
Autores principales: Han, Xian-Hua, Sun, Yongqing, Wang, Jian, Shi, Boxin, Zheng, Yinqiang, Chen, Yen-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960746/
https://www.ncbi.nlm.nih.gov/pubmed/31817912
http://dx.doi.org/10.3390/s19245401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960746/
https://www.ncbi.nlm.nih.gov/pubmed/31817912
http://dx.doi.org/10.3390/s19245401

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