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Unsupervised SAR Imagery Feature Learning with Median Filter-Based Loss Value
The scarcity of open SAR (Synthetic Aperture Radars) imagery databases (especially the labeled ones) and sparsity of pre-trained neural networks lead to the need for heavy data generation, augmentation, or transfer learning usage. This paper described the characteristics of SAR imagery, the limitati...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460378/ https://www.ncbi.nlm.nih.gov/pubmed/36080978 http://dx.doi.org/10.3390/s22176519 |