Applying an Automatic Image-Processing Method to Synoptic Observations
Applying an Automatic Image-Processing Method to Synoptic Observations
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DOI:
10.1007/s11207-013-0404-7
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发表时间:
2014-04
期刊:
影响因子:
2.8
通讯作者:
A. Tlatov;V. Vasil’eva;V. V. Makarova-V.;P. A. Otkidychev
中科院分区:
文献类型:
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作者:
A. Tlatov;V. Vasil’eva;V. V. Makarova-V.;P. A. Otkidychev
We used an automatic image-processing method to detect solar-activity features observed in white light at the Kislovodsk Solar Station. This technique was applied to automatically or semi-automatically detect sunspots and active regions. The results of this automated recognition were verified with statistical data available from other observatories and revealed a high detection accuracy. We also provide parameters of sunspot areas, of the umbra, and of faculae as observed in Solar Cycle 23 as well as the magnetic flux of these active elements, calculated at the Kislovodsk Solar Station, together with white-light images and magnetograms from theMichaelson Doppler Imageronboard theSolar and Heliospheric Observatory(SOHO/MDI). The ratio of umbral and total sunspot areas during Solar Cycle 23 is ≈ 0.19. The area of sunspots of the leading polarity was approximately 2.5 times the area of sunspots of the trailing polarity.