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The automatic processing and analysis of solar image sequences
- Source :
- Pattern Recognition and Image Analysis. 16:30-32
- Publication Year :
- 2006
- Publisher :
- Pleiades Publishing Ltd, 2006.
-
Abstract
- An algorithm for the analysis of sequential images of the Sun is presented and tested with the imagery obtained by the SOHO satellite. In the context of space weather monitoring, it is interesting to reveal the sources of fast solar wind on the surface of the Sun. Examples of such sources are coronal holes, which may cause a fast flow of solar wind when crossing the central meridian of the Sun. The proposed algorithm determines the area and location of coronal holes. The calculated dynamics of the hole areas and of the observed solar wind velocity are compared from August 1 to December 31, 2003.
- Subjects :
- Geomagnetic storm
Solar image
Astrophysics::High Energy Astrophysical Phenomena
Coronal hole
Automatic processing
Coronal loop
Space weather
Computer Graphics and Computer-Aided Design
Solar wind
Physics::Space Physics
Coronal mass ejection
Astrophysics::Solar and Stellar Astrophysics
Astrophysics::Earth and Planetary Astrophysics
Computer Vision and Pattern Recognition
Physics::Atmospheric and Oceanic Physics
Geology
Remote sensing
Subjects
Details
- ISSN :
- 15556212 and 10546618
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition and Image Analysis
- Accession number :
- edsair.doi...........166577415fd94ab3245cc26e4ace092a
- Full Text :
- https://doi.org/10.1134/s1054661806010093