TY - GEN
T1 - Solar flare tracking using image processing techniques
AU - Qu, Ming
AU - Shih, Frank
AU - Jing, Ju
AU - Wang, Haimin
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=11244258292&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11244258292
SN - 0780386035
SN - 9780780386037
T3 - 2004 IEEE International Conference on Multimedia and Expo (ICME)
SP - 347
EP - 350
BT - 2004 IEEE International Conference on Multimedia and Expo (ICME)
T2 - 2004 IEEE International Conference on Multimedia and Expo (ICME)
Y2 - 27 June 2004 through 30 June 2004
ER -