Meteor tracking via local pattern clustering in spatio-temporal domain

Jaromír Kukal; Martin Klimt; Jan Švihlík; Karel Fliegel

doi:10.1117/12.2237649

28 September 2016 Meteor tracking via local pattern clustering in spatio-temporal domain

Jaromír Kukal, Martin Klimt, Jan Švihlík, Karel Fliegel

Proceedings Volume 9971, Applications of Digital Image Processing XXXIX; 99712M (2016) https://doi.org/10.1117/12.2237649
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

Reliable meteor detection is one of the crucial disciplines in astronomy. A variety of imaging systems is used for meteor path reconstruction. The traditional approach is based on analysis of 2D image sequences obtained from a double station video observation system. Precise localization of meteor path is difficult due to atmospheric turbulence and other factors causing spatio-temporal fluctuations of the image background. The proposed technique performs non-linear preprocessing of image intensity using Box-Cox transform as recommended in our previous work. Both symmetric and asymmetric spatio-temporal differences are designed to be robust in the statistical sense. Resulting local patterns are processed by data whitening technique and obtained vectors are classified via cluster analysis and Self-Organized Map (SOM).

Citation Download Citation

Jaromír Kukal, Martin Klimt, Jan Švihlík, and Karel Fliegel "Meteor tracking via local pattern clustering in spatio-temporal domain", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712M (28 September 2016); https://doi.org/10.1117/12.2237649

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