CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation

Crop mapping is essential for agricultural management and food production monitoring, but challenges like limited crop labels and poor model generalization significantly hinder large-scale crop mapping. Here, we introduce a novel Contrastive Self-Training Network (CSTN), integrating a self-training...

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Bibliographic Details
Main Authors: Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:International Journal of Applied Earth Observations and Geoinformation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225000263
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