一个集成高斯混合模型-支持向量机-统计模式的适合中低浓度的跃移沙粒识别算法

李浩强, 李惠娟, 杨倩文, 梅凡民

A hybrid algorithm for aeolian saltating particle recognition under low-medium particle concentrations with Gaussian Mixture Model， Support Vector Machine and probability-distribution of saltating particles' geometric and color parameters

Haoqiang Li, Huijuan Li, Qianwen Yang, Fanmin Mei

图2 A高斯混合模型检测沙粒数量随着开闭运算核形状及大小变化；B高斯混合模型F1分数在不同开闭运算的核形状及大小情境下随沙粒浓度的变化（括号里斜体数字代表闭运算核大小）

Fig.2 The number of saltating particles identified by Gaussian mixture model varies with the kernel shape and size of the opening and closing for morphological operation； The F1 score of Gaussian mixture model fluctuates with the sand particle concentrations under the various combinations of the kernel shape-size parameters