Diurnal auroral occurrence statistics obtained via machine vision
| Autor: | M. Syrjasuo, Eric Donovan |
|---|---|
| Přispěvatelé: | EGU, Publication |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences [SDU.OCEAN] Sciences of the Universe [physics]/Ocean Atmosphere Computer science Machine vision lcsh:QC801-809 Geology Astronomy and Astrophysics Control software 01 natural sciences lcsh:QC1-999 lcsh:Geophysics. Cosmic physics Space and Planetary Science 0103 physical sciences Statistics [SDU.STU] Sciences of the Universe [physics]/Earth Sciences Earth and Planetary Sciences (miscellaneous) lcsh:Q Ionosphere lcsh:Science 010303 astronomy & astrophysics lcsh:Physics 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Annales Geophysicae, Vol 22, Pp 1103-1113 (2004) Annales Geophysicae, Vol 22, Iss 4, Pp 1103-1113 (2004) Scopus-Elsevier |
| ISSN: | 1432-0576 |
| Popis: | Modern ground-based digital auroral All-Sky Imager (ASI) networks capture millions of images annually. Machine vision techniques are widely utilised in the retrieval of images from large data bases. Clearly, they can play an important scientific role in dealing with data from auroral ASI networks, facilitating both efficient searches and statistical studies. Furthermore, the development of automated techniques for identifying specific types of aurora opens up the potential of ASI control software that would change instrument operation in response to evolving geophysical conditions. In this paper, we describe machine vision techniques that we have developed for use on large auroral image data sets. We present the results of application of these techniques to a 350000 image subset of the CANOPUS Gillam ASI in the years 1993–1998. In particular, we obtain occurrence statistics for auroral arcs, patches, and Omega-bands. These results agree with those of previous manual auroral surveys.Key words. Ionosphere (Instruments and techniques) General (new fields) |
| Databáze: | OpenAIRE |
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