| 基于统计的遥感图像分类方法 |
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| 引用本文： | 付小勇,杨建祥,谭靖.基于统计的遥感图像分类方法[J].林业调查规划,2005,30(6):20-22. |
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| 作者姓名： | 付小勇 杨建祥 谭靖 |
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| 作者单位： | 西南林学院,云南,昆明,650224;云南林业调查规划院,云南,昆明,650051 |
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| 摘 要： | 对遥感图像分类是遥感图像信息获取的重要手段。统计分类方法在遥感图像分类中运用得很普遍，同时统计分类方法还是各种新兴分类方法的基础。文章主要研究了各种统计分类方法在遥感图像分类中的应用，在此基础上运用核密度估计Bayes分类方法、BP神经网络分类法进行分类，并与传统的统计分类方法进行比较。
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| 关 键 词： | 遥感图像 分类 Bayes分类 核密度估计 BP神经网络 |
| 文章编号： | 1671-3168（2005）06-0020-03 |
| 收稿时间： | 2005-04-27 |
| 修稿时间： | 2005-06-23 |
Classification Method of Remote Sensing Images based on Statistics |
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| FU Xiao-yong,YANG Jian-xiang,TAN Jing.Classification Method of Remote Sensing Images based on Statistics[J].Forest Inventory and Planning,2005,30(6):20-22. |
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| Authors: | FU Xiao-yong YANG Jian-xiang TAN Jing |
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| Abstract: | The classification of Remote Sensing Image is an important measure for obtaining information of remote sensing image. The statistic classification method, which is the basis of various new classification methods, is very popular in the classification of remote sensing image. All kinds of application of statistic method to the remote sensing image were studied by means of Bayes classification method of kemel density estimation and BP classification method of neural network, while all these were compared with traditional methods. |
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| Keywords: | remote sensing image classification Bayes classification estimation of kemel density BP neural network |
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