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Typhoon Center Location Algorithm Based on Fractal Feature and Gradient of Infrared Satellite Cloud Image

机译:基于分形特征和红外卫星云图梯度的台风中心定位算法

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An efficient algorithm for typhoon center location is proposed using fractal feature and gradient of infrared satellite cloud image. The centers are generally located in this region for a typhoon except the latter disappearing typhoon. The characteristics of dense cloud region are smoother texture and higher gray values than those of marginal clouds. So the window analysis method is used to select an appropriate cloud region. The window whose difference value between the sum of the gray-gradient co-occurrence matrix and fractal dimension is the biggest is chosen as the dense cloud region. The temperature gradient of the region, which is near typhoon center except typhoon eye, is small. Thus the gradient information is strengthened and is calculated by canny operator. Then we use a window to traverse the dense cloud region. If there is a closed curve, the region of curve is considered as the typhoon center region. Otherwise, the region in which there is the most texture intersection and the biggest density is considered as the typhoon center region. Finally, the geometric center of the center region is determined as the typhoon center location. The effectiveness is test by Chinese FY-2C stationary satellite cloud image. And the result is compared with the typhoon center location in the "tropical cyclone yearbook" which was compiled by Shanghai typhoon institute of China meteorological administration. Experimental results show that the high location accuracy can be obtained.
机译:使用分形特征和红外卫星云图像的分形特征和梯度提出了一种高效的台风中心位置算法。除了后者消失台风外,该中心通常位于该地区的台风。密集云区域的特征是纹理更平滑的纹理,比边缘云的灰度较高。因此,窗口分析方法用于选择适当的云区域。灰度梯度共发生矩阵和分形维数之和之间的差值是最大的窗口,作为密集云区域。除台风眼外的台风中心附近的区域的温度梯度小。因此,加强梯度信息并由Canny Operator计算。然后我们使用窗口来遍历密集的云区域。如果存在闭合曲线,则曲线区域被认为是台风中心区域。否则,存在最大纹理交叉点的区域和最大的密度被认为是台风中心区域。最后,中心区域的几何中心被确定为台风中心位置。有效性是通过中国FY-2C固定卫星云图像进行测试。并将结果与​​上海台风学院的“热带气旋年鉴”中的台风中心位置进行比较。实验结果表明,可以获得高位置精度。

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