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- W170742008 abstract "The aurora provides us with a powerful tool for studying the near-Earth space. Processes in the magnetosphere and the ionosphere shape the visual appearance of the aurora, which itself is caused by precipitating particles colliding with atmospheric atoms and molecules. Today's auroral research utilises sensitive ground-based all-sky cameras to acquire images of the whole sky. These cameras produce millions of images every year, only a fraction of which are used in research due to the required manual labour. In this work, we present two important results. First, to answer the question whether a given image contains aurora or not, we present a K-nearest-neighbour classifier that agrees with a human expert with an accuracy of about 90%. Second, we show that the CONDENSATION algorithm can successfully track auroral arcs. The information of arc location and movements are direct indicators of the physical processes taking place in the space environment surrounding our planet." @default.
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- W170742008 date "2002-01-01" @default.
- W170742008 modified "2023-10-16" @default.
- W170742008 title "Analysis of Auroral Images: Detection and Tracking" @default.
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