Share Email Print
cover

Proceedings Paper • new

Meteor tracking via local pattern clustering in spatio-temporal domain
Author(s): Jaromír Kukal; Martin Klimt; Jan Švihlík; Karel Fliegel
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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).

Paper Details

Date Published: 28 September 2016
PDF: 9 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712M (28 September 2016); doi: 10.1117/12.2237649
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. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top