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...

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Bibliografske podrobnosti
Main Authors: Junshi Xia, Naoto Yokoya, Bruno Adriano, Keiichiro Kanemoto
Format: Article
Jezik:English
Izdano: Elsevier 2023-03-01
Serija:International Journal of Applied Earth Observations and Geoinformation
Teme:
Online dostop:http://www.sciencedirect.com/science/article/pii/S1569843223000158

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