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一种静止气象卫星云图动画的质量评估算法
引用本文:咸 迪,李 雪.一种静止气象卫星云图动画的质量评估算法[J].红外,2012,33(1):22-26.
作者姓名:咸 迪  李 雪
作者单位:国家卫星气象中心北京,国家卫星气象中心北京
基金项目:科技部国家科技支撑计划应急空间数据分中心系统项目(2008BAK52B05)
摘    要:静止气象卫星云图在天气预报和公众服务等领域发挥着非常重要的作用。气象卫星 处理系统是一个非常复杂的系统。卫星及地面系统的软硬件问题经常会使得分发云图的质量难以得到保证。 利用基于图像的欧氏距离算法提出了一种可对实时生产的静止卫星云图进行质量评估的方法,并且对其业务 可行性进行了讨论。通过与历史数据进行比对,该方法可以判识90 %以上的错误云图。

关 键 词:云图  欧氏距离  质量评估
收稿时间:2011/11/14
修稿时间:2011/11/22 0:00:00

A Quality Evaluation Algorithm for Cloud Image of Geostationary Meteorological Satellite
Xian Di and Li Xue.A Quality Evaluation Algorithm for Cloud Image of Geostationary Meteorological Satellite[J].Infrared,2012,33(1):22-26.
Authors:Xian Di and Li Xue
Affiliation:National Satellite Meteorological Center,National Satellite Meteorological Center
Abstract:A geostationary meteorological satellite plays an important role in modern weather forecast and public services. The data processing system of the geostationary meteorological satellite is a very complex system. Because of the problems of the software and hardware used in satellite and ground systems, the quality of the cloud images is often affected. A method based on the Euclidean distance algorithm is proposed. It can be used to evaluate the quality of the cloud images produced in real time. The feasibility of this algorithm in the ground system of the geostationary meteorological satellite is discussed. The comparison of the result with the historical data shows that this method can identify at least 90 % of inaccurate cloud images.
Keywords:cloud image  Euclidean distance algorithm    image quality evaluation
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