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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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| Foilsithe in: | Sensors (Basel) |
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| Main Authors: | , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
MDPI
2021
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| Ábhair: | |
| Rochtain Ar Líne: | 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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