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2002
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Using attribute trees to analyse auroral appearance over Canada

10 years 6 months ago
Using attribute trees to analyse auroral appearance over Canada
Modern space research uses both satellite-born and ground-based instruments to measure the near-Earth space environment. Studying the auroral display provides information of the electric currents in the ionosphere, which is why automated imaging stations capture millions of auroral all-sky images every year. However, due to the nature of the aurora, these images are difficult to analyse automatically: photon-limited images are noisy, and objects are irregular and difficult to identify. We used hierarchical attribute trees in a large scale experiment with over 350,000 auroral allsky images. Tree-to-tree distances were utilised in classifying images and in locating similar images in content-based image retrieval fashion.
Mikko T. Syrjäsuo, Eric F. Donovan, Markus Pe
Added 16 Jul 2010
Updated 16 Jul 2010
Type Conference
Year 2002
Where WACV
Authors Mikko T. Syrjäsuo, Eric F. Donovan, Markus Peura
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