遇见数据集

PKUszLC-10

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Figshare2024-09-09 更新2026-04-08 收录
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We use the Sentinel-2 L2A-level remote sensing images at five different times as the original data. After preprocessing and applying an unsupervised subspace clustering method, the pseudo-labels are obtained and correspond to real ground feature types, and a multi-temporal land cover map PKUszLC-10 for the study area is produced (a case study of the Peking University Shenzhen Graduate School). We share the MATLAB data files and ground truth files of the study area (time: the year 2020/2021/2022/2023/2024), and the number of class=2/3/4/5/6.

提供机构:
Zhan, Jiaqiyu
创建时间:
2024-09-09
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