To address the problem of hydrometeor classification with data imbalance condition,this paper proposes a hydrometeor classification method based on error correcting output code(ECOC)balanced random forest for dual-polarization weather radar.Firstly,the multiclass hydrometeor dataset is coded into multiple binary datasets,and then the binary datasets are balanced resampling with replacement to construct multiple classification and regression trees.Finally,all the classification and regression trees are used to jointly classify hydrometeors.The processing results of the measured data indicate that the proposed method can significantly improve the classification effect of minority classes while ensuring a high overall accuracy.
关键词
双偏振气象雷达/降水粒子分类/数据不平衡/纠错输出码/平衡随机森林
Key words
dual-polarization weather radar/hydrometeor classification/data imbalance/error correcting output code(ECOC)/balanced random forest
维普
万方数据