Filament and Flare Detection in Hα image sequences

04/26/2013
by   Gernot Riegler, et al.
0

Solar storms can have a major impact on the infrastructure of the earth. Some of the causing events are observable from ground in the Hα spectral line. In this paper we propose a new method for the simultaneous detection of flares and filaments in Hα image sequences. Therefore we perform several preprocessing steps to enhance and normalize the images. Based on the intensity values we segment the image by a variational approach. In a final postprecessing step we derive essential properties to classify the events and further demonstrate the performance by comparing our obtained results to the data annotated by an expert. The information produced by our method can be used for near real-time alerts and the statistical analysis of existing data by solar physicists.

READ FULL TEXT

page 2

page 4

page 6

research
02/16/2018

Extreme Value Analysis of Solar Flare Events

Space weather events such as solar flares can be harmful for life and in...
research
07/23/2021

Deep Learning Based Reconstruction of Total Solar Irradiance

The Earth's primary source of energy is the radiant energy generated by ...
research
01/27/2021

Solar Radiation Anomaly Events Modeling Using Spatial-Temporal Mutually Interactive Processes

Modeling and predicting solar events, in particular, the solar ramping e...
research
12/29/2022

Towards data-driven modeling and real-time prediction of solar flares and coronal mass ejections

Modeling of transient events in the solar atmosphere requires the conflu...
research
01/22/2021

A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey

In this paper we present a two-step neural network model to separate det...
research
04/08/2019

Desaturating EUV observations of solar flaring storms

Image saturation has been an issue for several instruments in solar astr...
research
02/08/2021

Soccer Event Detection Using Deep Learning

Event detection is an important step in extracting knowledge from the vi...

Please sign up or login with your details

Forgot password? Click here to reset