| 一种建立在CPN基础上的分类方法在遥感影像分类中的应用研究 |
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| 引用本文： | 韩玲,王翠平,王润平.一种建立在CPN基础上的分类方法在遥感影像分类中的应用研究[J].测绘科学,2007,32(3):26-27. |
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| 作者姓名： | 韩玲 王翠平 王润平 |
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| 作者单位： | 长安大学地质工程与测绘工程学院,西安,710054;长安大学地质工程与测绘工程学院,西安,710054;长安大学地质工程与测绘工程学院,西安,710054 |
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| 基金项目： | 国家科技攻关项目(973)2003cb214600，西部交通重点建设项目200416000001，陕西省自然科学基金项目2006D10 |
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| 摘 要： | 对偶神经网络利用了自组织映射近似函数的一种新的映射神经网络,其结构组合了Kohonen的自组织映射和Grossberg的外星(Outstar)结构,网络结构相对简单。本文以对偶神经网络分类方法原理为基础,研究了一种理想化的分类方法,并以MATLAB平台为基础对遥感影像进行分类处理,实验结果表明,其分类总精度为94.17%,分类精度较传统监督分类结果有所提高。
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| 关 键 词： | 对偶神经网络 MATLAB 遥感影像分类 |
| 文章编号： | 1009-2307(2007)03-0026-02 |
| 修稿时间： | 2006-06-28 |
Application of a classification method based on counter propagation neural network in remote sensing image classification |
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| HAN Ling,WANG Cui-ping,WANG Run-ping.Application of a classification method based on counter propagation neural network in remote sensing image classification[J].Science of Surveying and Mapping,2007,32(3):26-27. |
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| Authors: | HAN Ling WANG Cui-ping WANG Run-ping |
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| Abstract: | Counter Propagation Neural Network is one kind of new mapping neural network based on self-organization mapping approximate function. Its structure combines Kohonen self-organization mapping and Grossberg outside star(Outstar)structure. The structure of the network is relatively simple. Based on the classification theory of Counter Propagation Network, an idealistic classification method is researched in this paper. Image processing is finished in MATLAB. An experiment indicates that its total precision of classification is 94.17%, which is higher than that of supervised classification method. |
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| Keywords: | counter propagation neural network MATLAB remote sensing image classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
