0499957 20240103221349.420190116235959.9 000455146802133 10.1109/ICPR.2018.8546062 6 s. E cav_un_epca*0499960978-1-5386-3788-31051-46512797-2802BeijingIEEE Computer Society2018 solar atmosphere plasma parameters remote satellite observations cav_un_auth*0100099 Šimberová Stanislava ASU-R Sluneční oddělení Department of Solar Physics Department of Solar Physics - Team 1 K Astronomický ústav AV ČR, v. v. i. cav_un_auth*0101203 Suk Tomáš UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. We present new approach to study of behavior of the solar atmosphere. In actual fact it is processing of plasma parameters obtained from remote satellite observations. In this study we focused on physical data characterizing the so-called solar wind. Ever-present dynamic magnetic field affects other physical variables such as speed, temperature, density, etc. in the solar atmosphere. The turning points of the magnetic induction magnitude and direction time curves are computed. They serve as estimates of the beginning and end shockwave in solar wind and also as boundaries of segments for statistical analysis of magnetic field variables by Kendall rank correlation. cav_un_auth*0371030 International Conference on Pattern Recognition /24th/ 20180820 20180824 Beijing CN BN 10000 10300 10308 2019 UTIA-B 10000 10200 10201 UTIA-B JD RVO:67985815 RVO:67985556 http://hdl.handle.net/11104/0292141 S RIV/67985815:_____/18:00499957!RIV19-AV0-67985815 192095531 doplnění kódu UT WOS ASU-R RIV/67985556:_____/18:00499957!RIV19-AV0-67985556 192095250 doplnění kódu UT WOS UTIA-B 3+4 Proceedings Paper Computer Science Artificial Intelligence 0.405 Q3 2018 SCOPUS PUBMED 000455146802133 WOS cav_un_epca*0499960 Proceedings of the 24th International Conference on Pattern Recognition (ICPR 2018) 978-1-5386-3788-3 1051-4651 2797 2802 Beijing IEEE Computer Society 2018