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...
| Hlavní autoři: | , , , |
|---|---|
| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Elsevier
2023-03-01
|
| Edice: | International Journal of Applied Earth Observations and Geoinformation |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S1569843223000158 |