一种基于霍夫变换的阵风锋识别方法
By using a gust front identification method based on Hough transform, and combining dual polarization parameters and multi-sample statistics with region shrinkage and edge detection, the problem of strong template dependence in gust front identification methods is solved, and high-precision and stable identification is achieved under complex radar echo conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF INFORMATION SCI & TECH
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing gust front identification methods are highly dependent on templates, have poor adaptability, and lack sufficient identification accuracy and stability under complex radar echo conditions.
A method based on Hough transform is adopted, which uses dual polarization parameters and multi-sample statistics to identify the radar reflectivity factor at elevation angle. The linear features of the gust front are extracted by region shrinkage and edge detection, and the stitching is performed by using the consistency of endpoint distance and direction, which reduces the dependence on template.
It improves the objectivity, robustness and quantitative comparability of gust front identification, and can stably detect gust front morphology under complex radar echo conditions, avoiding the subjective problem of designing different identification function templates for different regions.
Smart Images
Figure CN122043472B_ABST