Solar flare tracking using image processing techniques
Document Type
Conference Proceeding
Publication Date
12-1-2004
Abstract
Automatic property measurement of solar flares through their complete cyclic development is valuable in the studies of solar flares. From the analysis of solar Ha images, we are able to use the 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 moving direction and speed.
Identifier
11244258292 (Scopus)
ISBN
[0780386035, 9780780386037]
Publication Title
2004 IEEE International Conference on Multimedia and Expo Icme
First Page
347
Last Page
350
Volume
1
Recommended Citation
Qu, Ming; Shih, Frank Y.; Jing, Ju; and Wang, Haimin, "Solar flare tracking using image processing techniques" (2004). Faculty Publications. 20030.
https://digitalcommons.njit.edu/fac_pubs/20030
