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首页> 外文会议>Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US >Automatically Locating the Typhoon Center Based on Satellite Cloud Image
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Automatically Locating the Typhoon Center Based on Satellite Cloud Image

机译：基于卫星云图自动定位台风中心

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摘要

An automatic locating algorithm is presented for typhoon center locating using cloud motion wind vectors derived from the satellite cloud images. The cloud motion wind vectors are obtained by implementing template matching to a pair of interrelated satellite cloud images with stated time interval. The template matching is a process to find the child image that corresponds to the given pattern image in an unknown pattern image. Three matching algorithms are compared. Namely, the absolute difference matching algorithm, the sequential similarity detection algorithm and the infrared cross-correlation coefficients matching algorithm. The third one is selected to acquire the set of cloud motion wind vectors duo to its desirable vector results. Aiming at the specific typhoon cloud image, two simplifications are processed in the course of acquiring the cloud motion wind vectors. According to meteorological analysis, typhoon center motion has two important characteristics: (1) The translation in the central area is great while the spin is feeble. (2) The center moving direction is compatible to that of the whole typhoon clouds. According to these characteristics, the algorithm for automatically locating the typhoon center can be depicted as follows: firstly pick up the vectors that compatible to the whole typhoon cloud motion vectors in the cloud motion wind vectors image, then find out the thickest area of the satisfied vectors, lastly process the thickest area with mathematical morphology until there exists only one pixel point. The locating result shows that the thought in the paper is good and can be a promising application in the typhoon center location field.
机译：提出了一种自动定位算法，利用从卫星云图得到的云运动风矢量进行台风中心定位。通过以指定的时间间隔对一对相互关联的卫星云图像实施模板匹配来获得云运动风矢量。模板匹配是在未知图案图像中找到与给定图案图像相对应的子图像的过程。比较了三种匹配算法。即，绝对差匹配算法，顺序相似度检测算法和红外互相关系数匹配算法。选择第三者以获取其期望的向量结果的一组云运动风向量。针对特定的台风云图像，在获取云运动风矢量的过程中进行了两种简化。根据气象分析，台风中心运动具有两个重要特征：（1）中心区平移大，自旋微弱。 （2）中心移动方向与整个台风云兼容。根据这些特征，自动定位台风中心的算法可以描述如下：首先在云运动风矢量图像中选取与整个台风云运动矢量兼容的矢量，然后找出满足条件的最厚区域。向量，最后用数学形态学处理最厚的区域，直到仅存在一个像素点。定位结果表明，本文的思想是好的，在台风中心定位领域具有广阔的应用前景。

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