Clustering techniques versus binary thresholding for detection of signal tracks in ionograms

P. 87–92.

Грачев А. М., Shiriy A.

An ionogram is a display of the data produced by an ionosonde. It is a graph of the virtual height of the ionosphere plotted against frequency. In addition to "useful signal", an ionogram almost always contains noise of different nature, a so called background noise. That is why the signal filtering task becomes so important. There are two groups of methods to this end. The first group features methods of computer vision for image processing, namely, different filters and image binarization. The second group includes adapted clustering methods. In this paper, we show how several methods work for filtering "useful signal" from noise and emissions.

Ключевые слова: similarity measures, Image filtering, Ionograms, image processing

В книге

SCAKD 2016 – The Second International Workshop on Soft Computing Applications and Knowledge Discovery. Proceedings of the Second International Workshop on Soft Computing Applications and Knowledge Discovery. July 18, 2016

Vol. 1687. , CEUR Workshop Proceedings, 2016.