Synthetically generated clouds on ground-based solar observations

A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal本数据集包含在巴黎默东天文台（Paris Meudon Observatory）拍摄的Ca II（钙II）与H-α（H-alpha）波段图像。研究人员已对原始清晰图像合成添加云层覆盖，由此生成（多云、清晰）图像对，以辅助云层移除算法的训练。该Ca II与H-α合成数据集分别包含319对和367对含云/无云图像样本，且均被划分为训练集与测试集：其中Ca II数据集的训练/测试样本对为223/96，H-α数据集的训练/测试样本对为256/111。现已构建可实现该数据集下载、导入与使用的PyTorch工具，相关代码可在以下GitHub仓库获取：https://github.com/jaypmorgan/cloud-removal