当前位置: X-MOL 学术Remote Sens. Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Generative adversarial network augmentation for solving the training data imbalance problem in crop classification
Remote Sensing Letters ( IF 2.3 ) Pub Date : 2023-10-29 , DOI: 10.1080/2150704x.2023.2275551
Leonid Shumilo 1 , Anton Okhrimenko 2 , Nataliia Kussul 2, 3 , Sofiia Drozd 2 , Oleh Shkalikov 2
Affiliation  

Deep learning models offer great potential for advancing land monitoring using satellite data. However, they face challenges due to imbalanced real-world data distributions of land cover and crop t...

中文翻译:

用于解决作物分类中训练数据不平衡问题的生成对抗网络增强

深度学习模型为利用卫星数据推进土地监测提供了巨大潜力。然而,由于土地覆盖和作物产量的现实世界数据分布不平衡,他们面临着挑战。
更新日期:2023-10-29
down
wechat
bug