Meteor localization via statistical analysis of spatially temporal fluctuations in image sequences

Jaromír Kukal; Martin Klimt; Jan Švihlík; Karel Fliegel

doi:10.1117/12.2188186

22 September 2015 Meteor localization via statistical analysis of spatially temporal fluctuations in image sequences

Jaromír Kukal, Martin Klimt, Jan Švihlík, Karel Fliegel

Proceedings Volume 9599, Applications of Digital Image Processing XXXVIII; 95992C (2015) https://doi.org/10.1117/12.2188186
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

Jaromír Kukal, Martin Klimt, Jan Švihlík, and Karel Fliegel "Meteor localization via statistical analysis of spatially temporal fluctuations in image sequences", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95992C (22 September 2015); https://doi.org/10.1117/12.2188186

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available