高级检索+

TM影像决策树分类中的影响因素研究

Factors Affecting Decision Tree Classification Method over TM Image

  • 摘要: 以云南省西双版纳州一景TM影像为例,分析了影响分类回归树方法的主要因素。结果表明在其他因素均一致的情况下,训练数据如果使用涵盖各类别的外业调查数据比使用系统布设的训练数据分类精度更高,并且多种参数波段的选择也会有效地提高分类的精度。

     

    Abstract: Taking one scene TM image of Xishuangbanna of Yunnan as an example, the main factors affecting the classification and regression tree method were analyzed. The results show that in the parameters under identical circumstances, the training data has higher classification accuracy if the field investigation data covering all the classification data were used rather than the system layout data. It also shows that selecting various bands of parameters can also improve the precision of classification effectively.

     

/

返回文章
返回