计算机科学 ›› 2015, Vol. 42 ›› Issue (5): 67-71.doi: 10.11896/j.issn.1002-137X.2015.05.014

• 2014' 数据挖掘会议 • 上一篇    下一篇

基于椭圆拟合的热带气旋中心定位研究

刘年庆,张文生,李 林   

  1. 中国科学院自动化研究所 北京100190;国家卫星气象中心 北京100081,中国科学院自动化研究所 北京100190,中国科学院自动化研究所 北京100190
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受北极阁基金(BJG201210)资助

Study of Positioning Tropical Cyclone Center Based on Ellipse Fitting

LIU Nian-qing, ZHANG Wen-sheng and LI Lin   

  • Online:2018-11-14 Published:2018-11-14

摘要: 对热带气旋的中心进行定位是预测其未来路径的基础。提出了一种基于椭圆拟合模型的全自动客观方法来代替传统的基于螺线拟合的方法,以实现热带气旋的中心定位。该方法包含梯度方向融合、椭圆线段选取、椭圆中心聚类以及气旋中心确定4个步骤。采用卫星红外图像进行实验,结果表明,提出的椭圆拟合定位方法与中国气象局发布的热带气旋最佳路径数据集在经度和纬度方向的偏差均值小于0.12度,为热带气旋中心定位提供了客观准确的参考。

关键词: 热带气旋,中心定位,红外云图,数据挖掘,椭圆拟合

Abstract: Positioning tropical cyclone (TC) center is the basis of TC forecasting.A novel ellipse model was presented instead of existing spiral ones to locate TC center objectively and automatically.The model includes diffusion of oriented gradient,ellipse segments selection,ellipse clustering and center point decision.Experimental results show that the modelbased on infrared satellite cloud images can achieve the best average error of less 0.12 on both latitude and longitude in comparison with the best track data from the China Meteorological Administration,providing objective and accurate information for locating TC centers.

Key words: Tropical cyclone,Center positioning,Infrared satellite image,Data mining,Ellipse fitting

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