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Remote Sensing Image Dataset Expansion Based on Generative Adversarial Networks with Modified Shuffle Attention
With the development of science and technology, neural networks, as an effective tool in image processing, play an important role in gradual remote-sensing image-processing. However, the training of neural networks requires a large sample database. Therefore, expanding datasets with limited samples...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8309944/ https://ncbi.nlm.nih.gov/pubmed/34300604 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21144867 |
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