| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0468480 |
| utime |
20240103213313.3 |
| mtime |
20170106235959.9 |
| SCOPUS |
85019149149 |
| WOS |
000406771301032 |
| DOI |
10.1109/ICPR.2016.7899797 |
| title
(primary) (eng) |
Solar Flare Retrieval, Detection and Analysis |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0467540 |
| ISBN |
978-1-5090-4846-5 |
| title
|
Proceedings of the 23rd International Conference on Pattern Recognition (ICPR) |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2016 |
|
|
| keyword |
Solar flare |
| keyword |
moments of histogram |
| keyword |
turning point |
| author
(primary) |
| ARLID |
cav_un_auth*0101203 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| share |
50 |
| name1 |
Suk |
| name2 |
Tomáš |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0100099 |
| full_dept (cz) |
Sluneční oddělení |
| full_dept |
Department of Solar Physics |
| full_dept |
Department of Solar Physics - Team 1 |
| share |
50 |
| name1 |
Šimberová |
| name2 |
Stanislava |
| institution |
ASU-R |
| fullinstit |
Astronomický ústav AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
|
| abstract
(eng) |
We propose methodology for the analysis of active regions on the Sun. It is based on high-order statistical moments of image histogram, particularly on its skewness. The methodology includes a new technique to select regions with possible formation of the flare. We track these areas in the time video sequences to search for triggers -- turning point(s), when the pre-flare phase changes to the full developed event. The frequency analysis in the flare formation areas is based on Fourier analysis, Morlet wavelets, and principal component analysis. Results have been evaluated to achieve the periods of oscillations stimulating the flare origin. |
| action |
| ARLID |
cav_un_auth*0340495 |
| name |
23rd International Conference on Pattern Recognition ICPR 2016 |
| dates |
20161204 |
| mrcbC20-s |
20161208 |
| place |
Cancún |
| country |
MX |
|
| RIV |
IN |
| reportyear |
2017 |
| num_of_auth |
2 |
| presentation_type |
PO |
| mrcbC55 |
ASU-R BN |
| inst_support |
RVO:67985815 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0266438 |
| mrcbC61 |
1 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence |
| arlyear |
2016 |
| mrcbU14 |
85019149149 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000406771301032 WOS |
| mrcbU63 |
cav_un_epca*0467540 Proceedings of the 23rd International Conference on Pattern Recognition (ICPR) 978-1-5090-4846-5 Piscataway IEEE 2016 |
|