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基于决策二叉树的多光谱影像混合像元分类方法
引用本文:李明奎,王建丽,王明孝,齐建成.基于决策二叉树的多光谱影像混合像元分类方法[J].地理空间信息,2010,8(3):100-102,111.
作者姓名:李明奎  王建丽  王明孝  齐建成
作者单位:1. 68029部队,甘肃兰州,730020
2. 甘肃省基础地理信息中心,甘肃兰州,730000
3. 解放军国际关系学院,江苏南京,210039
摘    要:传统混合像元分类算法按照同一标准同时提取各类地物,导致错分现象严重。本文利用端元光谱间的独立性关系和决策二叉树的分层特征,提出基于决策二叉树的混合像元分类方法。利用黄山地区Landsat7 ETM+影像数据进行实验,结果表明:该算法正确合理,分类精度比SGA-NCLS方法高,但分类效率比SGA-NCLS低。

关 键 词:决策二叉树  多光谱影像  混合像元分类  端元独立性

Mixed Pixel Classification of Multi-spectral Image Based on Binary Decision Tree
LI Mingkui,WANG Jianli,WANG Mingxiao,QI Jiancheng.Mixed Pixel Classification of Multi-spectral Image Based on Binary Decision Tree[J].Geospatial Information,2010,8(3):100-102,111.
Authors:LI Mingkui  WANG Jianli  WANG Mingxiao  QI Jiancheng
Institution:LI Mingkui1,WANG Jianli2,WANG Mingxiao1,QI Jiancheng3(1.68029 Troops,Lanzhou 730020,China,2.Gansu Provincial Center for Geomatics,Lanzhou 730000,3.Chinese People's Liberation International Studies University,Nanjing 210039,China)
Abstract:Traditional mixed-pixel classification methods extract ground-object based on same criterion,which lead to serious misclassification.By multi-spectral independence and layer-feature of Binary Decision Tree(BDT),a new mixed-pixel classification method was proposed based on BDT.Landsat7 ETM+ image of Yellow Mountain area was choosed to testify this method,experimental results show that the classification accuracy of proposed method is better than SGA-NCLS,efficience is worse than SGA-NCLS.
Keywords:binary decision tree(BDT)  multi-spectral image  mixed-pixel classification  multi-spectral independence  
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