Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (23): 21-24.

• 博士论坛 • Previous Articles     Next Articles

Application of B-spline curve based on genetic algorithm in meteorological detection

LI Jianbao1,ZHANG Tie1,SUN Baojing2   

  1. 1.School of Sciences,Northeastern University,Shenyang 110004,China
    2.Department of Electronic Reconnaissance and Command,Shenyang Artillery Academy,Shenyang 110004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-08-11 Published:2011-08-11

基于遗传算法的B样条曲线在气象探测中的应用

李建保1,张 铁1,孙宝京2   

  1. 1.东北大学 理学院,沈阳 110004
    2.沈阳炮兵学院 电子侦察指挥系,沈阳 110004

Abstract: According to the character of the large number and complex and unpredicted trend on change of the meteorological detecting data,this paper uses the B-spline curve fitting with genetic algorithm to calculate the knots,proposes the method of optimizing the creation of chromosome to improve the converging efficiency,realizes that the B-spline curve with less control point can fit the meteorological detecting data curve,and the validity has been proved by the result of fitting the feature point from temperature-height curve.

Key words: B-spline curve, genetic algorithm, meteorological detection

摘要: 针对高空气象探测数据变化规律复杂、突变情况不可预测、数据量大等特点,采用基于遗传算法确定节点矢量的B样条曲线拟合方法,并提出优化染色体的产生方式,加速算法的收敛效率,实现了在给定误差要求下,用较少控制点的B样条曲线拟合高空气象探测数据曲线,并通过对气温-高度曲线特征点的拟合效果证明了算法的可行性。

关键词: B样条曲线, 遗传算法, 气象探测