【摘要】 云类型产品在气象预报、气候变化、灾害监测与预警等众多领域都具有非常重要的应用。近年来随着卫星技术的发展，光学卫星遥感因其空间覆盖范围广、观测频率高和空间分辨率高等优势，成为云分类研究的重要数据源，基于光学卫星遥感的云分类也取得了一系列研究成果。本文首先简要介绍用于云分类的光学遥感卫星及其传感器。随后，系统阐述了近20年国内外基于光学卫星遥感的云分类研究进展，根据分类方法的原理和复杂度，主要分为基于简单线性关系、数理统计和机器学习算法的三种云分类方法。最后，分析了基于光学卫星遥感云分类研究存在的问题并展望了未来研究方向，期望为国产卫星云分类研究与应用提供参考。更多还原

【Abstract】 Cloud-type products have very important applications in many fields such as weather forecasting,climate change, disaster monitoring and early warning. In recent years, with the development of satellite technology, optical satellite remote sensing has become an important data source for cloud classification research due to its advantages of wide spatial coverage, high observation frequency and high spatial resolution. At the same time, cloud classification based on optical satellite remote sensing has also achieved a series of research results. In this paper, optical remote sensing satellites and their sensors for cloud classification are briefly introduced firstly. Then, the research progress of cloud classification based on optical satellite remote sensing in China and abroad in the past 20 years is systematically expounded.According to the principle and complexity of methods, cloud classification methods are mainly divided into three types based on simple linear relationship, mathematical statistics and machine learning, respectively.Finally, the problems existing in the research of cloud classification based on optical satellite remote sensing are analyzed and the future research direction is prospected, which is expected to provide reference for the research and application of domestic satellite cloud classification.更多还原