Winter wheat mapping using unbalanced multi-source remote sensing data

Winter wheat mapping using unbalanced multi-source remote sensing data

The integration of optical and synthetic aperture radar (SAR) remote sensing images enhances the acquisition of winter wheat planting information and improves the accuracy of winter wheat mapping. However, the distinct imaging mechanisms of multi-source sensors present challenges, particularly when...

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Bibliographic Details
Main Authors: Haofei Li, Xiaohui He, Mengjia Qiao, Haonan Sun, Jinlan Kong, Xijie Cheng, Panle Li, Jian Zhang, Renyi Liu, Jiandong Shang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
Winter wheat extraction
multi-source data
deep learning
imbalanced learning
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2509814
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https://www.tandfonline.com/doi/10.1080/17538947.2025.2509814

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