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Alignment-invariant signal reality reconstruction in hyperspectral imaging using a deep convolutional neural network architecture
The energy resolution in hyperspectral imaging techniques has always been an important matter in data interpretation. In many cases, spectral information is distorted by elements such as instruments’ broad optical transfer function, and electronic high frequency noises. In the past decades, advances...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581942/ https://www.ncbi.nlm.nih.gov/pubmed/36261495 http://dx.doi.org/10.1038/s41598-022-22264-3 |