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Combination of support vector machine, artificial neural network and random forest for improving the classification of convective and stratiform rain using spectral features of SEVIRI data 期刊论文
ATMOSPHERIC RESEARCH, 2018, 203: 118-129
作者:  Lazri, Mourad;  Ameur, Soltane
收藏  |  浏览/下载：12/0  |  提交时间：2019/04/09
Support vector machine  Network neural  Random forest  MSG-SEVIRI  Radar image  Classification  
Analysis of waterspout environmental conditions and of parent-storm behaviour based on satellite data over the southern Aegean Sea of Greece 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (2)
作者:  Matsangouras, I. T.;  Nastos, P. T.;  Bluestein, H. B.;  Pytharoulis, I.;  Papachristopoulou, K.;  Miglietta, M. M.
收藏  |  浏览/下载：24/0  |  提交时间：2019/04/09
waterspouts  remote sensing  satellite  MSG  SEVIRI  SST  brightness temperature  soundings  thermodynamic indices  instability  Aegean Sea