基于基数据的天气雷达异常回波识别

Abnormal Echo Recognition of Weather Radar Based on Raw Data

笔者介绍了从单部天气雷达基数据中识别出常见的几种异常回波的算法,避免进一步影响多雷达组网拼图,对天气雷达组网产品的质量控制具有重要的意义,同时也便于技术人员及时发现雷达异常并进行修复,不仅有利于提高雷达数据的可靠性,还可以提高组网拼图的质量。相比基于图像的识别算法,基于基数据的识别具有计算量小、更接近异常本质的优点。

This paper introduces the algorithm to identify several common abnormal echoes from the single weather radar base data,so as to avoid further influence on the multi radar network mosaic,which is of great significance to the quality control of weather radar networking products.At the same time,it is convenient for technical personnel to find and repair radar anomalies in time.It is not only conducive to improve the reliability of radar data,but also to improve the networking collage The quality of the graph.Compared with the image-based recognition algorithm,the recognition based on base data has the advantages of less computation and closer to the nature of anomaly.