@MISC{Institute95retrievinginformation, author = {Andr'e Csillaghy Institute}, title = {Retrieving Information from Digital Solar Radio Spectrograms}, year = {1995} }
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Abstract
. The quantity of observational data recorded by high resolution spectrometers is in constant increase and must be managed efficiently, in order to be best exploited. More precisely, operations for searching, comparing and counting events in the spectrogram archive must be available. However, the large, variable size of spectrograms, as well as their low signal to noise ratio, prevent the use of conventional methods to implement these tasks. We propose an alternative method, more adapted to the kind of data we manage. Spectrograms are reduced to smaller representations, called image icons. They are built from data density considerations in a higher-dimensional space. An image size reduction allows browsing among icons rather than among original images, a much faster operation. Ordering the archive by its content, which facilitates searching and comparing tasks, is investigated using self-organizing maps. Such a map conserves the topological order of the input space. This property may b...