EuroSAT
收藏arXiv2019-02-01 更新2024-06-21 收录
下载链接：
https://github.com/phelber/eurosat
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资源简介：
EuroSAT数据集是由德国人工智能研究中心创建，基于Sentinel-2卫星图像的大型土地利用和土地覆盖分类数据集。该数据集包含10个类别，总计27,000张标记和地理参考的图像，覆盖13个光谱波段。数据集的创建过程涉及从Sentinel-2卫星下载图像，并手动检查和标记。EuroSAT数据集的应用领域广泛，包括土地利用和土地覆盖变化的检测，以及地理地图的更新和改进。
The EuroSAT dataset is a large-scale land use and land cover classification dataset based on Sentinel-2 satellite imagery, created by the German Research Center for Artificial Intelligence. It contains 10 categories, with a total of 27,000 labeled and georeferenced images covering 13 spectral bands. The creation process of the EuroSAT dataset involves downloading images from the Sentinel-2 satellite, followed by manual inspection and labeling. The EuroSAT dataset has a wide range of application scenarios, including the detection of land use and land cover changes, as well as the update and refinement of geographic maps.
提供机构：
德国人工智能研究中心
创建时间：
2017-09-01
