Design and Research of Hail Cloud Recognition Model Based on Maximum Probability Criterion

摘要

The hail is a serious disaster weather of hail cloud with sudden, moving rapidly, the history of life is short, etc. characteristics. These characteristics make the artificial hail forecast is very difficult, so the research is now a hot spot. This paper designs the hail cloud recognition model, the probability of discrimination method, according to the measure analysis and extraction of hail cloud and hail cloud image data, analysis of hail cloud images and non hail cloud image feature data. The measurement and analysis of the extraction of the relevant statistics as the largest probability discriminant method of variable data, tectonic discriminant function. Using this model to Xinjiang Aksu area samples were detected. Know the discriminant method for hail cloud recognition non hail cloud images with higher resolution, and judging the lower error rate. The experimental results show that, through the measure analysis of weather radar reflectivity image of echo intensity and the maximum probability discriminant method combining structure to identify hail cloud model and has a good effect.