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Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-08-05 , DOI: 10.1080/15481603.2024.2387393 Hengbin Wang 1 , Yu Yao 1 , Zijing Ye 1 , Wanqiu Chang 1 , Junyi Liu 1 , Yuanyuan Zhao 1, 2 , Shaoming Li 1, 2 , Zhe Liu 1, 2 , Xiaodong Zhang 1, 2
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-08-05 , DOI: 10.1080/15481603.2024.2387393 Hengbin Wang 1 , Yu Yao 1 , Zijing Ye 1 , Wanqiu Chang 1 , Junyi Liu 1 , Yuanyuan Zhao 1, 2 , Shaoming Li 1, 2 , Zhe Liu 1, 2 , Xiaodong Zhang 1, 2
Affiliation
Reliable classification results are crucial for guiding agricultural production, forecasting crop yield, and ensuring food security. Generating reliable classification results is relatively simple ...
中文翻译：
标记样本有限区域作物分类解决方案：深度学习和迁移学习
可靠的分类结果对于指导农业生产、预测作物产量、保障粮食安全至关重要。生成可靠的分类结果相对简单......
更新日期：2024-08-05
中文翻译：
标记样本有限区域作物分类解决方案：深度学习和迁移学习
可靠的分类结果对于指导农业生产、预测作物产量、保障粮食安全至关重要。生成可靠的分类结果相对简单......
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