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A New Super Resolution Framework Based on Multi-Task Learning for Remote Sensing Images
Super-resolution (SR) algorithms based on deep learning have dominated in various tasks, including medical imaging, street view surveillance and face recognition. In the remote sensing field, most of the current SR methods utilize the low-resolution (LR) images that directly bicubic downsampled the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959284/ https://www.ncbi.nlm.nih.gov/pubmed/33802432 http://dx.doi.org/10.3390/s21051743 |