Abstract
In this paper, we introduce two novel models for processing real-life satellite images to quantify and then visualise their magnetic structures in 3D. We believe this multidisciplinary work is a real convergence between image processing, 3D visualisation and solar physics. The first model aims to calculate the value of the magnetic complexity in active regions and the solar disk. A series of experiments are carried out using this model and a relationship has been indentified between the calculated magnetic complexity values and solar flare events. The second model aims to visualise the calculated magnetic complexities in 3D colour maps in order to identify the locations of eruptive regions on the Sun. Both models demonstrate promising results and they can be potentially used in the fields of solar imaging, space weather and solar flare prediction and forecasting.
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Abbreviations
- MDI:
-
Michelson Doppler Imager
- SOHO:
-
Solar and Heliospheric Observatory
- ESA:
-
European Space Agency
- NASA:
-
National Aeronautics and Space Administration
- NGDC:
-
National Geophysical Data Center
- GIF:
-
Graphic Interchange Format
- NOAA:
-
National Oceanic and Atmospheric Administration
- OpenGL:
-
Open Graphics Library
- ASAP:
-
Automated Solar Activity Prediction
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Original work presented in CyberWorlds 2009 Conference.
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Ahmed, O.W., Qahwaji, R., Colak, T. et al. A new technique for the calculation and 3D visualisation of magnetic complexities on solar satellite images. Vis Comput 26, 385–395 (2010). https://doi.org/10.1007/s00371-010-0418-1
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DOI: https://doi.org/10.1007/s00371-010-0418-1