基于链码信息的雹云识别及冰雹落区定位

Recognition and positioning of hailstorm based on chain code information

提出了一种新的码字处理方法,使得由Freeman链码得到的最小和统计方向码具有起始点不变性、旋转不变性,基于最小和统计方向码的方向熵具有尺度不变性。另外,还针对雹云的形状特征,提出了一种基于码字的统计计算方法,该方法能够有效鉴别出雹云的特定形状,为定位落雹区提供了重要前提。实验结果表明本文方法处理速度快,模板匹配准确性和稳健性较高,冰雹落区定位准确。

In this paper, a new method of processing codes was proposed, which enabled the Minimize Sum Statistical Direction Code （MSSDC） based on Freeman chain code to be invariant to the origin and rotating, and also enabled the direction entropy to be invariant to scaling. In addition, a statistical algorithm was also proposed, which can detect the given shape effectively and supply important premise to position hailstorm area. The experiments show that the method can not only acquire high processing speed and high accuracy and robustness of the template matching, but also position the hail area accurately.