本文在二叉判别树的基础上，提出了一种新的多级假设检验的两级图象匹配方法。
A new method of two-stage image matching with multiple assumption tests based on two-fork deciding tree is proposed in this paper.
判别因子分别是：个体的树高、胸径、胸高处皮厚、第一枯枝高和树干熏黑高度。
Factors involved in the model are: tree height. diameter at breast height. bark thickness at breast height. height of first dead branch and height of blackened trunk.
判别因子包括个体的树高、胸径、胸高处皮厚、第一枯枝高和树干熏黑高度。
Factors involved in the model are tree height, DBH, bark thickness at breast height, height of first dead branch, and height of blackened trunk.
应用关联函数及决策树方法对石墨形态进行判别。
The graphite morphologies were identified by using correlated functions and the decision tree method.
应用关联函数及决策树方法对石墨形态进行判别。
The graphite morphologies were identified by using correlated functions and the decision tree method.
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