Solar flare tracking using image processing techniques

Author

Qu, Ming ; Shih, Frank Y. ; Jing, Ju ; Wang, Haimin

Author_Institution

Coll. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

1

fYear

2004

fDate

30-30 June 2004

Firstpage

347

Abstract

The automatic property measurement of solar flares through their complete cyclic development is valuable in the studies of solar flares. From the analysis of solar Hα images, we are able to use a support vector machine (SVM) to automatically detect flares, and apply image segmentation techniques to compute the properties of solar flares. We also present our solution for automatically tracking the motion of two-ribbon flares and measuring their movement direction and speed.

Keywords

image segmentation; motion estimation; solar flares; support vector machines; velocity measurement; SVM; automatic solar flare detection; image processing; image segmentation; motion tracking method; solar H/spl alpha/ images; solar flare characterization; solar flare cyclic development; solar flare tracking; space weather monitoring; speed measurement; support vector machine; two-ribbon flares; Electrons; Filters; Image processing; Image segmentation; Magnetic field measurement; Pixel; Support vector machine classification; Support vector machines; Tracking; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-8603-5

Type

conf

DOI

10.1109/ICME.2004.1394200

Filename

1394200