Automated Detection of Filaments and their Disappearance using Full Disc H-alpha Images
arXiv:0905.3055 · doi:10.1007/s11207-010-9528-1
Abstract
A new algorithm is developed that automatically detects filaments on the solar disc in H-alpha images. Preprocessing of H-alpha images include corrections for limb darkening and foreshortening. Further, by applying suitable intensity and size thresholds, filaments are extracted, while other solar features e.g. sunspots and plages are removed. Filaments attributes such as their position on the solar disc, total area, length, and number of fragments are determined. In addition, every filament is also labelled with a unique number. The algorithm is capable of following a particular filament through successive images which allows us to detect the changes and disappearance of the same, and thus provides a real-time warning of eruptive filaments. This aspect would prove to be of particular importance in studies pertaining to space weather. The algorithm will eventually be integrated with an upcoming telescope at Udaipur Solar Observatory for real time monitoring of activated/eruptive filaments.
13 pages, 8 figures. Several figures rendered improperly in PDF of previous version
References in corpus (2)
Cited by in corpus (7)
- Development of an Advanced Automated Method for Solar Filament Recognition and Its Scientific Application to a Solar Cycle of MLSO Hα Data
- A Universal Method for Solar Filament Detection from H-alpha Observations using Semi-supervised Deep Learning
- Automated Detection Methods for Solar Activities and an Application for Statistic Analysis of Solar Filament
- Automated Detection of Solar Eruptions
- Properties of Magnetic Neutral Line Gradients and Formation of Filaments
- Automation of the filament tracking in the framework of the HELIO project
- Graph Learning with Multiplicative Aggregation for Solar Filament Fragment Association Modeling in Full-disk H Images