Computer Vision for the Solar Dynamics Observatory

@inproceedings{Martens2009ComputerVF,
  title={Computer Vision for the Solar Dynamics Observatory},
  author={Petrus C. Martens and Gemma Diana Ruth Attrill and Alisdair R. Davey and Shahid Farid and Paolo C. Grigis and Justin Kasper and Kelly Elizabeth Korreck and Steven H. Saar and Yu Su and Antonia S. Savcheva and P. Testa and Meredith Jennings Wills-Davey and Pietro N. Bernasconi and Manolis K. Georgoulis and V{\'e}ronique Delouille and J-F. Hochedez and Jonathan W Cirtain and . DeForest and Rafal A. Angryk and Ineke de Moortel and Thomas Wiegelmann},
  year={2009}
}
In the fall of 2008 NASA selected a large international consortium to produce a comprehensive system of automated feature recognition for the SDO mission. The SDO data we consider are all AIA images plus surface magnetic field images from HMI. Helioseismology is addressed by another group. We will produce robust and very efficient professionally coded software modules that can keep up with the relentless SDO data stream and detect, trace, and analyze a large number of phenomena, including… CONTINUE READING
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