静止卫星闪电探测中的虚假信号滤除

静止卫星闪电探测对强对流天气的实时监测和预警具有重要意义，然而大量虚假闪电信号的存在却对闪电探测结果造成了很大影响。文章主要研究静止卫星闪电探测中的虚假信号滤除算法，以提高闪电数据分析结果的准确性。根据虚假闪电信号产生的原因和形态特征，对现有滤除算法进行系统的分析、归纳和总结。研究表明，目前的算法有各自的针对性，不同算法通常针对特定的噪声源起到过滤作用。未来发展方向，一是从仪器本身特点及其工作环境出发，探索适合于我国静止卫星闪电成像仪的虚假信号滤除算法；二是设计更加通用高效的算法，保证闪电观测的实时性和连续性；三是重视算法精度评估，并以此不断改进和完善算法。

Filtering of False Signals in Lightning Detection by Geostationary Satellite

The lightning detection from a geostationary platform plays a significant role in monitoring strong convection in real time and providing early warning. However, the false signals have an negatively impact on lighting detection. The false signal filtering algorithms in lightning detection by geostationary satellite are explored, which can greatly improve the accuracy of lightning data analysis. Based on the origins and characteristics of these false events, the existing filtering algorithms are systematically analyzed and summarized. The investigation shows that the existing filtering algorithms usually have distinctive characteristics with regards to noise sources, and the false events that can be identified today can be restrained to a certain extent. The future work include: (1) designing the false signal filtering algorithm based on the characteristics of FY 4 GLI, (2) designing more universal and efficient algorithm to ensure the capability for observing lightning in real time and continuously, and (3) considering the accuracy evaluation of the algorithm in order to improve it continuously.