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基于红外云图的台风中心智能定位方法
引用本文:牛海军,杨夙.基于红外云图的台风中心智能定位方法[J].计算机工程,2010,36(9):195-196.
作者姓名:牛海军  杨夙
作者单位:复旦大学计算机科学技术学院,上海,200433
基金项目:国家“973”计划基金资助项目(2010CB731401);;国家“863”计划基金资助重点项目(2006AA010111);;上海市科委基础研究基金资助重点项目(09JC1401500)
摘    要:台风中心附近的云墙是同心圆状云带且其灰度值范围较固定,针对该特点,利用红外云图对台风中心进行智能定位,提出由云图预处理、Snake活动轮廓模型提取台风云墙轮廓点、最小二乘法拟合圆组成的3步定位方法。实验结果表明,该方法定位速度快、精度高,能满足气象业务的实时性要求。

关 键 词:台风眼  云墙  螺旋云带  活动轮廓模型  最小二乘拟合
修稿时间: 

Intelligent Location Method of Typhoon Center Based on Infrared Cloud Image
NIU Hai-jun,YANG Su.Intelligent Location Method of Typhoon Center Based on Infrared Cloud Image[J].Computer Engineering,2010,36(9):195-196.
Authors:NIU Hai-jun  YANG Su
Affiliation:(School of Computer Science, Fudan University, Shanghai 200433)
Abstract:Cloud wall around typhoon center is concentric-circle-liked cloud band, and its gray scale is stable usually. Aiming at this feature, this paper uses infrared cloud images to intelligently locate typhoon center. It presents a three-step location method which includes pre-process of cloud image, extraction of contour points of typhoon cloud wall based on Snake active contour model, circle fitting based on Least Square(LS). Experimental results show that this method has fast location speed, high precision, and it can satisfy the real-time requirement of weather service.
Keywords:typhoon eye  cloud wall  spiral band  active contour model  Least Square(LS) fitting
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