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Proceedings Paper

Meteor localization via statistical analysis of spatially temporal fluctuations in image sequences
Author(s): Jaromír Kukal; Martin Klimt; Jan Švihlík; Karel Fliegel
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Paper Abstract

Meteor detection is one of the most important procedures in astronomical imaging. Meteor path in Earth's atmosphere is traditionally reconstructed from double station video observation system generating 2D image sequences. However, the atmospheric turbulence and other factors cause spatially-temporal fluctuations of image background, which makes the localization of meteor path more difficult. Our approach is based on nonlinear preprocessing of image intensity using Box-Cox and logarithmic transform as its particular case. The transformed image sequences are then differentiated along discrete coordinates to obtain statistical description of sky background fluctuations, which can be modeled by multivariate normal distribution. After verification and hypothesis testing, we use the statistical model for outlier detection. Meanwhile the isolated outlier points are ignored, the compact cluster of outliers indicates the presence of meteoroids after ignition.

Paper Details

Date Published: 22 September 2015
PDF: 7 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95992C (22 September 2015); doi: 10.1117/12.2188186
Show Author Affiliations
Jaromír Kukal, Univ. of Chemistry and Technology (Czech Republic)
Martin Klimt, Univ. of Chemistry and Technology (Czech Republic)
Jan Švihlík, Univ. of Chemistry and Technology (Czech Republic)
Czech Technical Univ. in Prague (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)


Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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