A multi-label dataset for China's agricultural and rural scenes classification from VHR satellite imagery
文献类型：期刊论文
| 作者 | Yuan, Shiying1,2; Feng, Quanlong2; Niu, Bowen2; Yan, Xiaolu3; Zheng, Landi2,4; Hao, Zinuo2; Zhu, Dehai2; Yang, Jianyu2; Liu, Jiantao5 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2026-02-07 |
| 卷号 | 13期号:1页码:384 |
| DOI | 10.1038/s41597-026-06800-8 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | This study releases China-MAS-50k, i.e., China Multi-label dataset for Agriculture & rural Scene 50k, the first very-high-resolution (VHR) remote sensing dataset for multi-label classification covering entire China's agricultural and rural areas, filling the gap in finely annotated data for non-urban scene recognition. Based on a 50 km grid system, over 50,000 sample points were determined nationwide, where VHR Google Earth imagery were to be collected for subsequent multi-label annotation. A fine-grained label system comprising 18 categories (e.g., cropland, rural village, greenhouse and photovoltaic station, etc.) was established. Meanwhile, both a rigorously defined visual interpretation system and a labeling procedure including cross-check and error correction were proposed to maintain annotation quality. Finally, the proposed dataset has a total of 55,520 VHR images with 135,289 labels, which exhibits a long-tail distribution thus providing a challenging benchmark dataset. Furthermore, we evaluated the performance of mainstream multi-label classification models on the China-MAS-50k dataset, where ResNeXt-101 achieved the best performance with an F1-score of 78.4%, but exhibited limitations in recognizing tail categories. |
| URL标识 | 查看原文 |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001716025500006 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221241]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Feng, Quanlong |
| 作者单位 | 1.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China; 2.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China; 3.Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, NL-6708 PB Wageningen, Netherlands; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 5.Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Shiying,Feng, Quanlong,Niu, Bowen,et al. A multi-label dataset for China's agricultural and rural scenes classification from VHR satellite imagery[J]. SCIENTIFIC DATA,2026,13(1):384. |
| APA | Yuan, Shiying.,Feng, Quanlong.,Niu, Bowen.,Yan, Xiaolu.,Zheng, Landi.,...&Liu, Jiantao.(2026).A multi-label dataset for China's agricultural and rural scenes classification from VHR satellite imagery.SCIENTIFIC DATA,13(1),384. |
| MLA | Yuan, Shiying,et al."A multi-label dataset for China's agricultural and rural scenes classification from VHR satellite imagery".SCIENTIFIC DATA 13.1(2026):384. |
入库方式： OAI收割
来源：地理科学与资源研究所
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