CHENG Ling-zhou,HE Jian-xin,ZENG Xian-jun.Radar Echo Recognition of Squall Line based on Wavelet and Hu Moment[J].Journal of Chengdu University of Information Technology,2017,(04):369-374.[doi:10.16836/j.cnki.jcuit.2017.04.005 ]
基于小波和Hu矩的飑线雷达回波识别
- Title:
- Radar Echo Recognition of Squall Line based on Wavelet and Hu Moment
- 文章编号:
- 2096-1618(2017)04-0369-06
- 分类号:
- TN957.52
- 文献标志码:
- A
- 摘要:
- 针对飑线中心强度较强且连接成线这一雷达回波特征,利用数字图像处理技术中的小波变换模极大边缘检测方法和Hu矩理论方法完成识别,小波边缘检测方法提取的边缘信息丰富且定位精度较高,能很好地获得雷达回波边缘。Hu不变矩具有平移、旋转和尺度不变性,对形状的识别尤为有效。采用了两次飑线天气过程的雷达基数据进行试验,一次假设为模板,一次为匹配过程,最后以欧氏距离作为识别参量,结果表明该方法具有可行性和良好的识别性。
- Abstract:
- The radar echo characteristics are that the central intensity of squall line is strong and connects a line. The method of edge detection algorithm based on wavelet modulus maxima and the theory of Hu moment are used to finish the recognition, which is contained by digital image processing technology. The algorithm of edge detection based on wavelet can detect the edge of rich information and high accuracy of position, furthermore, it can obtain the edge of radar echo well. Hu invariant moments have the characteristics of translation invariance, rotation invariance and scale invariance. Especially, it is an effective method to the recognition of shape. The experiment uses the radar data of two squall line processes, and one process assumes it as the template, while the other is matching. At last, the Euclidean distance is used as the identification parameter. The result shows that this method is feasible and has a perfect recognition performance.
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备注/Memo
收稿日期:2017-03-15 基金项目:国家自然科学基金资助项目(41375043)