Automatic recognition of auroral forms

Mikhail I. Pudovkin; Ake Steen; N. V. Nikolaev; O. I. Kornilov; Urban Brandstrom; Bjorn Gustavsson; Peter Rydesater

doi:10.1117/12.343030

22 March 1999 Automatic recognition of auroral forms

Mikhail I. Pudovkin, Ake Steen, N. V. Nikolaev, O. I. Kornilov, Urban Brandstrom, Bjorn Gustavsson, Peter Rydesater

Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343030
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden

Abstract

A method for recognition of geometrical shapes in auroral forms is presented. The method is based on the analysis of isolines of auroral luminosity shapes. The basic variables used are the angle, (phi) (s), between the tangent of the contour and the x-axis of an arbitrary coordinate system, and the differential, d(phi) (s), as a function of the distance, s, along the contour. The analysis also includes Fourier transformation of the experimental function d(phi) (s) obtained for the observed auroral forms, and the comparison of the power spectrum, F(k), with those for a series of model contours. Some dynamical characteristics of the aurora are also discussed.

Citation Download Citation

Mikhail I. Pudovkin, Ake Steen, N. V. Nikolaev, O. I. Kornilov, Urban Brandstrom, Bjorn Gustavsson, and Peter Rydesater "Automatic recognition of auroral forms", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343030

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