By Topic

Solar flare tracking using image processing techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ming Qu ; Coll. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA ; Shih, F.Y. ; Ju Jing ; Haimin Wang

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.

Published in:

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on  (Volume:1 )

Date of Conference:

30-30 June 2004