National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets

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...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Junshi Xia, Naoto Yokoya, Bruno Adriano, Keiichiro Kanemoto
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	Elsevier 2023-03-01
Loạt:	International Journal of Applied Earth Observations and Geoinformation
Những chủ đề:	Cropland mapping Agricultural census Multi-temporal Multi-modality Random forests
Truy cập trực tuyến:	http://www.sciencedirect.com/science/article/pii/S1569843223000158

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