A dual-branch spatio-temporal Transformer for enhancing cross-regional transferability of winter wheat extraction using small training datasets

Accurate identification of winter wheat from remote sensing imagery is crucial for large-scale agricultural monitoring. Despite the success of Transformer-based deep learning models in various fields, their application in crop identification has been limited by the scarcity of extensive labeled trai...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Chenyang He, Jia Song
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Winter wheat Deep learning Transformer Small training dataset Time series
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843225004327