摘要
为从地磁水平分量序列中自动识别出磁暴,提出了一种基于Fisher和核Fisher组合的磁暴识别方法。使用北京十三陵地磁台的数据进行测试,在数据样本较少的情况下,该方法对于磁暴与非磁暴的平均识别率达到了85%以上,并随着样本数据的增多,识别率还将有所提高。
component of geomagnetism, a discriminant analysis is presen- ted. The data used in the study are derived from Ming tombs of Beijing geomagnetic station. In the case of the little number of the data samples, the average rate of this combined method for magnetic storms recognition is above 85%, and the recognition rate will be improved by the increasing amount of data samples. Key words：wavelet packets transform; magnetic storms; Fisher; kernel Fisher; recognition rate
出处
《大地测量与地球动力学》
CSCD
北大核心
2013年第3期151-154,共4页
Journal of Geodesy and Geodynamics
基金
中央高校基本科研基金(FRF-TP-09-017B)
教育部新世纪优秀人才支持计划资助项目(NCET-09-0216)
国家自然科学基金(61273082)
关键词
小波包
磁暴
FISHER
核FISHER
识别率
wavelet packets transform
magnetic storms
Fisher
kernel Fisher
recognition rate
