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Transformer based on channel-spatial attention for accurate classification of scenes in remote sensing image
Recently, the scenes in large high-resolution remote sensing (HRRS) datasets have been classified using convolutional neural network (CNN)-based methods. Such methods are well-suited for spatial feature extraction and can classify images with relatively high accuracy. However, CNNs do not adequately...
| 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/PMC9474818/ https://www.ncbi.nlm.nih.gov/pubmed/36104442 http://dx.doi.org/10.1038/s41598-022-19831-z |