Improving parcel level crop classification by integrating a novel red edge maize-cotton mapping index and machine learning: A case study in the Ebinur Lake Basin
Accurate crop type classification remains challenged by dependence on ground-based samples and the presence of ‘salt-and-pepper’ noise. This study presented a hierarchical parcel-level classification framework for multi-crop mapping, integrating the boundary-field interaction network (BFINet), the R...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225004121 |
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