October 5-9, 2014

Abstract

P.1.9 Preprocessing of ground-based Halpha observation data

Xiaofan Wang (National Astronomical Observatories, CAS)

Ganghua Lin, National Astronomical Observatories, CAS

The solar observational data can be used for the forecast of solar activity and the statistics study of solar activity. However, for the ground based observation especially cloudy site, there are clouds from time to time. The cloud interference should be predicted, treated or removed to a certain extent. This paper introduces the principle, method, and the actual effect about the cloud removing on solar Halpha image. This method is useful to the data preprocessing of solar flare detection. Our method could be applicable to processing of Halpha data in ground based solar observation.

Mode of presentation: poster

Applicable ADASS XXIV theme category: Big Data Challenges