| 多分类器组合方法的遥感技术研究 |
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| 引用本文： | 邓碧平,刘登忠,张中言.多分类器组合方法的遥感技术研究[J].高原地震,2009,21(4):40-45. |
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| 作者姓名： | 邓碧平 刘登忠 张中言 |
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| 作者单位： | 成都理工大学地球科学院,四川,成都610059 |
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| 摘 要： | 将光谱聚类方法应用于高光谱遥感数据处理，对低反射率地物信息的提取取得较好效果；同时采用决策树的多分类器组合方法提取高光谱遥感影像信息，经对比研究发现其效果明显优于单个分类器。
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| 关 键 词： | 高光谱遥感技术 多分类器 决策树 |
STUDY ON THE REMOTE SENSING TECHNOLOGY BASED ON MULTIPLE CLASSIFIERS COMBINATION METHODS |
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| DENG Biping,LIU Dengzhong,ZHANG Zhongyan.STUDY ON THE REMOTE SENSING TECHNOLOGY BASED ON MULTIPLE CLASSIFIERS COMBINATION METHODS[J].Plateau Earthquake Research,2009,21(4):40-45. |
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| Authors: | DENG Biping LIU Dengzhong ZHANG Zhongyan |
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| Institution: | ( Chengdu University of Technology, Chengdu 610059, China) |
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| Abstract: | The spectral clumping method is applied to deal with hyperspectral remote sensing data. It is very well to extract information of low reflectance objects. At the meanwhile, it is also applied multiple classifiers combination methods based on decision tree to extracting information from hyperspeetral remote sensing images. It is discovered that multiple classifiers method is clearly superior to single classifier in the research. |
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| Keywords: | Hyperspeetral remote sensing technology Multiple classifiers Decision tree |
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