National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets
Multi-modality datasets offer advantages for processing frameworks with complementary information, particularly for large-scale cropland mapping. Extensive training datasets are required to train machine learning algorithms, which can be challenging to obtain. To alleviate the limitations, we extrac...
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Elsevier
2023-03-01
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| Serie: | International Journal of Applied Earth Observations and Geoinformation |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S1569843223000158 |