2013/04/26 by Gernot Riegler, Riegler, Gernot, Thomas Pock +6 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Reservoir Engineering and Simulation Methods #Solar Radiation and Photovoltaics #Solar and Space Plasma Dynamics #astro-ph.IM #cs.CV
paper · pdf · doi:10.48550/arxiv.1304.7132
Part of the OAGM/AAPR 2013 proceedings (arXiv:1304.1876)
arxiv created 2013/04/26 · openalex publication_date 2013/04/26 · arxiv updated 2013/04/29 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
Solar storms can have a major impact on the infrastructure of the earth. Some of the causing events are observable from ground in the Hα spectral line. In this paper we propose a new method for the simultaneous detection of flares and filaments in Hα image sequences. Therefore we perform several preprocessing steps to enhance and normalize the images. Based on the intensity values we segment the image by a variational approach. In a final postprecessing step we derive essential properties to classify the events and further demonstrate the performance by comparing our obtained results to the data annotated by an expert. The information produced by our method can be used for near real-time alerts and the statistical analysis of existing data by solar physicists.