Interseasonal transfer learning for crop mapping using Sentinel-1 data
Crop maps are highly desired information in modern agriculture as they enable possessors to manage their business in the most optimal way. Usually in remote sensing, crop mapping is performed using satellite images and within-season ground truth samples that are collected in extensive survey campaig...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2024-04-01
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| Edice: | International Journal of Applied Earth Observations and Geoinformation |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S1569843224000724 |
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