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基于卫星云图的无眼台风中心定位算法
引用本文:刘正光,邱海明,吴冰,刘还珠. 基于卫星云图的无眼台风中心定位算法[J]. 天津大学学报(自然科学与工程技术版), 2003, 36(6): 668-672
作者姓名:刘正光  邱海明  吴冰  刘还珠
作者单位:[1]天津大学电气与自动化工程学院,天津300072 [2]国家气象中心,北京100081
基金项目:国家气象局"九五"重点攻关项目(BX 01 04).
摘    要:基于数学形态学理论,采用球形结构元素设计了一种滚球滤波器,以去除红外卫星云图的噪声。采用多值自适应分割算法,生成自适应的分割模板,分割出主体台风云系。通过分析不同类型无眼台风云系的眼区特点,提出了具有自适应特性的无眼台风云系中心自动定位算法。通过红外通道和水汽通道的多谱图像融合,校验无眼台风中心的定位。实验结果表明,这种方法可以初步解决大部分无眼台风的中心定位。

关 键 词:卫星云图 无眼台风 中心自动定位 数学形态学 多值自适应分割算法
文章编号:0493-2137(2003)06-0668-05
修稿时间:2002-09-23

Center Locating of Non-Eye Typhoon Based on Satellite Cloud Image
LIU Zheng-guang,QIU Hai-ming,WU Bing,LIU Huan-zhu. Center Locating of Non-Eye Typhoon Based on Satellite Cloud Image[J]. Journal of Tianjin University(Science and Technology), 2003, 36(6): 668-672
Authors:LIU Zheng-guang  QIU Hai-ming  WU Bing  LIU Huan-zhu
Affiliation:LIU Zheng-guang~1,QIU Hai-ming~1,WU Bing~1,LIU Huan-zhu~2
Abstract:This paper proposes a new mathematical morphology-based algorithm to locate the center of a non-eye typhoon automatically.A non-linear filter with a sphere-shaped structure element is designed to remove noise. A self-adaptive segmentation template is used to segment the main cloud systems automatically,and a center locating algorithm based on the knowledge of meteorological field is presented to locate the different types of the non-eye typhoons.The multispectral image fusion of infrared spectrum and water vapor spectrum is used to verify the result of locating the typhoon center. The experimental results show that the algorithm can solve the center location of most non-eye typhoons.
Keywords:satellite cloud image  non-eye typhoon  automatic center locating  mathematical morphology
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