Optimizing crop type mapping for fairness

doi:10.1016/j.jag.2025.104672

2025-06-21

PRE

Ilya Gorbunov

Caroline Gevaert

Mariana Belgiu

DOI：10.1016/j.jag.2025.104672

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摘要

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• 介绍了用于解决作物类型制图中类别和地块面积不平衡的方法。 • 评估了多种新型和传统方法在各类作物类型制图数据集上的表现。 • 新型混合方法在解决类别不平衡方面表现优于其他方法。 • 尽管采取了缓解策略，但小地块与大地块之间的性能差距仍然存在。

Keyword:

Crop mapping

Deep learning

Machine learning

Fairness

Artificial intelligence

Class imbalance problem

期刊

International Journal of Applied Earth Observation and Geoinformation

IF:

8.6

论文数:

5.2K

被引数:

2.4W

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