| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1781453 | Planetary and Space Science | 2012 | 9 Pages |
Abstract
⺠Automatic recognition of the poleward moving auroras from all-sky image sequences. ⺠We proposed a block matching-based method to estimate the auroral motion. ⺠The recognition is resolved based on the hybrid HMM-SVM architecture. ⺠Imbalanced classification problem is addressed by various metric-driven SVMs. ⺠Auroral observations of year 2003 at the Chinese Yellow River Station are used.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geophysics
Authors
Qiuju Yang, Jimin Liang, Zejun Hu, Zanyang Xing, Heng Zhao,