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Research on boundary extraction and fitting analysis for convective clouds based on rerouting strategy

机译:基于重路由策略的对流云边界提取与拟合分析研究

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The method of boundary extraction of convective clouds was theoretically studied on the basis of image processing and model fitting evaluation theory, with the help of Doppler weather radar echoes. Ellipse and convex polygon was used to fit the extracted boundary of those clouds whose areas are big enough for flights to reroute. The evaluation results show that polygon fitting method is better than ellipse. And the accuracy gradually decreases with the increasing of length-width ratio of clouds. On the contrary, the redundancy gradually increases. In ellipse fitting method, the deviation degree also increases when the length-width ratio increases, while, the value is constant in the method of polygon fitting.
机译:在图像处理和模型拟合评价理论的基础上,借助多普勒天气雷达回波,对对流云边界提取方法进行了理论研究。椭圆和凸多边形用于拟合这些云的提取边界,这些云的面积足够大,可以重新飞行。评估结果表明,多边形拟合法优于椭圆法。随着云的长宽比的增加,精度逐渐降低。相反,冗余度逐渐增加。在椭圆拟合方法中,当长宽比增加时,偏差度也增加,而在多边形拟合方法中,该值是恒定的。

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