| 基于贝叶斯树算法的高光谱遥感数据分类 |
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| 引用本文： | 张方,黄善志.基于贝叶斯树算法的高光谱遥感数据分类[J].计算机与数字工程,2011,39(2):19-22. |
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| 作者姓名： | 张方 黄善志 |
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| 作者单位： | 中国地质大学(武汉)计算机学院,武汉,430074 |
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| 摘 要： | 文章针对高光谱波段数众多、信息冗余量大的特点,首先对高光谱曲线进行光谱特征参数提取,然后再选择合适的吸收峰波段作为输入向量,在VS2008平台上实现了采用贝叶斯树（NBTree）算法对铀矿床高光谱数据进行分类。
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| 关 键 词： | 高光谱遥感 贝叶斯树算法 分类 |
Classification of Hyperspectral Remote Sensing Data Based on Naive Bayesian-Tree Algorithm |
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| Zhang Fang,Huang Shanzhi.Classification of Hyperspectral Remote Sensing Data Based on Naive Bayesian-Tree Algorithm[J].Computer and Digital Engineering,2011,39(2):19-22. |
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| Authors: | Zhang Fang Huang Shanzhi |
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| Affiliation: | Zhang Fang Huang Shanzhi(Department of Computer Science,China University of Geosciences,Wuhan 430074) |
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| Abstract: | In this paper,it mainly aims at the large amount of high spectral bands and information redundancy features,first curve of hyperspectral spectral characteristic parameters,then choose appropriate wave absorption peaks as input vector.With VS2008 platform,have used the naive Bayesian Tree(NBTree) algorithm to realize the classification of the uranium deposit hyperspectral data. |
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| Keywords: | hyperspectral remote sensing Naive Bayesian-Tree algorithm classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
