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Algorithm for Automatic Scaling of the F-Layer Using Image Processing of Ionograms
IEEE Transactions on Geoscience and Remote Sensing ( IF 8.2 ) Pub Date : 2020-06-02 , DOI: 10.1109/tgrs.2020.2996405
Mariano Fagre , Jose A. Prados , Jorge Scandaliaris , Bruno S. Zossi , Miguel A. Cabrera , Rodolfo G. Ezquer , Ana G. Elias

In this article, a method is presented for automatic scaling of the F-layer from ionograms based on an image processing technique for the extraction of curvilinear structures. The algorithm obtains the ordinary and extraordinary traces and determines the F2 critical frequency. The performance was tested using a wide data set of ionograms recorded by the Advanced Ionospheric Sounder/Istituto Nazionale di Geofisica e Vulcanologia (AIS/INGV) ionosonde located at Universidad Nacional de Tucumán, Tucuman, Argentina, and the results are compared with manual scaling and also with Autoscala method. Results from these tests show that the method is feasible and can be the seed for the development of a robust automated scaling system.

中文翻译:

利用离子图图像处理自动缩放F层的算法

在本文中,提出了一种基于图像处理技术从离子图自动缩放F层的方法,用于提取曲线结构。该算法获得寻常轨迹和异常轨迹,并确定F2临界频率。使用由位于阿根廷图库曼的国立塔库曼民族大学的高级电离层测深仪/地球物理地震研究所(AIS / INGV)离子探空仪记录的大量电离图数据对性能进行了测试,并将结果与​​手动缩放和也可以使用Autoscala方法。这些测试的结果表明,该方法是可行的,并且可以成为开发强大的自动缩放系统的种子。
更新日期:2020-06-02
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