Highlighting the F2 trace on an ionogram to improve Autoscala performance

• Published in: Computers & geosciences Vol. 36; no. 9; pp. 1168 - 1177
• Main Authors: Pezzopane, M., Scotto, C.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2010; Elsevier
• Subjects: Algorithms; Applied geophysics; Autoscala; Earth sciences; Earth, ocean, space; Echoes; Exact sciences and technology; F2 layer; Filtering; Filtration; Image filtering; Internal geophysics; Ionograms; Ionosonde; Noise; Performance enhancement; Regression; Sporadic E layer; South America; Southern Europe; Italy; Argentina; Europe; F2 layer; Image filtering; Ionosonde; Ionograms; Autoscala; image processing; algorithms; data processing; ionosphere; lonosonde; imagery; noise; filtering; performances; computers
• ISSN: 0098-3004; 1873-7803
• DOI: 10.1016/j.cageo.2010.01.010

This work describes a linear regression based method for highlighting the cuspidal trace on an ionogram. This method was initially thought to smooth out cases in which the autoscaling of the ionogram performed by Autoscala was erroneous because the F2 ordinary ray was identified as the extraordinary ray. The development of this method is very useful for filtering out noise and assisting the main algorithm of Autoscala to not be misled by multiple-hop sporadic E layer echoes. Applying the algorithm to different ionograms recorded by different ionosondes showed that the application of this method considerably improved the Autoscala performance. The role that this method plays in the light of existing algorithms is also discussed.