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  • 标题:Recognition of partial scanning low-level wind shear based on support vector machine
  • 作者:Yuechao Ma ; Sining Li ; Wei Lu
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2018
  • 卷号:10
  • 期号:1
  • DOI:10.1177/1687814017754151
  • 语种:English
  • 出版社:Sage Publications Ltd.
  • 摘要:A majority of air crash is caused by low-level wind shear. That can affect the direction and velocity of the aircrafts. So, it is very necessary to recognize the low-level wind shear in a short time to make the early warning. In this article, we propose a recognition method which uses support vector machine to make the classification of the low-level wind shear images measured by laser detection and ranging. We use the partial scanning images instead the traditional whole scanning ones, so that it can decrease the calculation time and avoid the wind field inversion. The feature exacting methods we use are invariant moments and gray-gradient co-occurrence matrix. They can, respectively, catch 7 features and 15 features of the wind velocity distribution images. At the same time, we use support vector machine that the parameters are optimized by K-fold cross-validation to do the pattern recognition. Moreover, the simulation results of recognition are given.
  • 关键词:Support vector machine; low-level wind shear; pattern recognition; partial scanning; laser detection and ranging
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