Abstract
In October 2003 we began a four year project whose goal is to build a real-time space weather monitoring and forecasting system. A major component of the project is the use of image processing and pattern recognition techniques to detect and characterize three important solar activities in real–time: filament eruptions, flares, and emerging flux regions. In this paper we describe a method for automatic tracking of the apparent separation motion of two–ribbon flares using a support vector machine for flare detection and image segmentation for flare characterization.
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Qu, M., Shih, F., Jing, J., Wang, H., Rees, D. (2004). Automatic Solar Flare Tracking. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_56
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DOI: https://doi.org/10.1007/978-3-540-30134-9_56
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