频高图扩展F的自动识别  

Automatic Recognition of Spread F on Ionograms

作　　者：石紫轩 兰婷 丁唯杰 何宇亮 SHI Zixuan;LAN Ting;DING Weijie;HE Yuliang(Department of Computer,Huanggang Normal University,Huanggang HuBei 438000,China)

机构地区：[1]黄冈师范学院计算机学院,湖北黄冈438000

出　　处：《信息与电脑》2022年第15期30-36,共7页Information & Computer

基　　金：2020年度湖北省教育厅科学研究计划资助项目中青年人才项目(项目编号:Q20202906);湖北省2021年黄冈师范学院大学生创新创业训练计划项目(项目编号:202110514153)。

摘　　要：扩展F(Spread F)是电离层中常出现的一种等离子体不规则结构,其产生与发展涉及等离子体不稳定性等复杂的物理过程。随着获取的频高图越来越多,自动识别存在的扩展F频高图可以有效提高对扩展F理论研究的效率。提出一种基于图像处理技术的扩展F自动判读方法,首先通过自适应二值化以及空域滤波进行噪声处理,其次利用描迹斜率变化以及图像投影的算法获取F2层参数,最后根据扩展F的形态特征对每个频点对应的信号点的数目进行统计来自动判读扩展F。该自动判读方法的运行速度快,简单易实现。使用云南普洱站记录的夜间频高图对该方法进行测试,结果表明该方法对存在扩展F的夜间频高图的判读具有较高的准确率。Spread F is a plasma irregular structure that often appears in the ionosphere,and its generation and development involve complex physical processes such as plasma instability.As more and more frequency height maps are acquired,automatic identification of the existing Spread F frequency height maps can effectively improve the efficiency of the theoretical study of Spread F.We propose an automatic reading method of Spread F based on image processing technology,firstly,noise processing by adaptive binarization and null domain filtering,secondly,obtaining F2 layer parameters by using the algorithm of tracing slope change and image projection,and finally,automatically reading Spread F by counting the number of signal points corresponding to each frequency point according to the morphological characteristics of Spread F.The automatic reading method is fast,simple and easy to implement.This method is fast and easy to implement.The method is tested using the nighttime frequency height map recorded in Yunnan Pu’er station,and the results show that the method has a high accuracy in interpreting the nighttime frequency height map with Spread F.

关 键 词：频高图 扩展F 自动判读 数字图像处理 

分 类 号：P352.7[天文地球—空间物理学]