Automatic Template Matching Method for Tropical Cyclone Eye Fix

K. Wong, Chi Lap Yip, Ping Wah Li, W. W. Tsang
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引用次数: 18

Abstract

A time-honored way of finding, or fixing, the center of a tropical cyclone (TC) is to overlay templates of spirals onto a printout of radar or satellite image. Modern methods, however, mostly focus on wind field analysis, or other motion vector techniques. These techniques cannot be applied effectively if the image is sampled infrequently, or when the TC moves fast. In this paper, we present a TC eye fix method that uses automatically generated templates to match spiral rainbands of TCs. Temporal information can be utilized optionally in the method to improve results. The method gives an average error of about 0.16 degrees in latitude/longitude on the Mercator projected map in our test radar image sequences. This is comparable to the relative error of about 0.3 degrees given by different TC warning centers.
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热带气旋眼定位的自动模板匹配方法
寻找或确定热带气旋(TC)中心的一种历史悠久的方法是将螺旋模板覆盖在雷达或卫星图像的打印输出上。然而,现代方法主要集中在风场分析或其他运动矢量技术上。这些技术不能有效地应用,如果图像采样不频繁,或当TC移动快。本文提出了一种利用自动生成的模板对TC的螺旋雨带进行匹配的TC定眼方法。在该方法中可以选择性地利用时间信息来改进结果。在我们的测试雷达图像序列中,该方法在墨卡托投影地图上的经纬度平均误差约为0.16度。这与不同TC预警中心给出的0.3度左右的相对误差相当。
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