Title :
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
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;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394200
