Spatio-temporal-text fusion for hierarchical multi-label crop classification based on time-series remote sensing imagery
Recent advances in deep learning have enhanced crop classification, yet current research still underutilizes the hierarchical information of crop types, limiting classification accuracy. As categories are subdivided, the sample imbalance intensifies, posing a challenge to fine classification of crop...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225001189 |
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