| 基于高斯混合模型的遥感影像半监督分类 |
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| 引用本文： | 熊彪,江万寿,李乐林.基于高斯混合模型的遥感影像半监督分类[J].武汉大学学报(信息科学版),2011(1):108-112. |
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| 作者姓名： | 熊彪 江万寿 李乐林 |
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| 作者单位： | 武汉大学测绘遥感信息工程国家重点实验室; |
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| 基金项目： | 国家863计划资助项目(2007AA120203); 遥感科学国家重点实验室开放研究基金资助项目 |
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| 摘 要： | 提出了对每一类地物的光谱特征用一个高斯混合模型(Gauss mixture model,GMM)描述的新思路,并应用在半监督分类(semi-supervised classification)中。实验证明,本方法只需少量的标定数据即可达到其他监督分类方法(如支持向量机分类、面向对象分类)的精度,具有较好的应用价值。
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| 关 键 词： | 遥感影像分类 半监督分类 高斯混合模型 |
Gauss Mixture Model Based Semi-Supervised Classification for Remote Sensing Image |
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| XIONG Biao JIANG Wanshou LI Lelin.Gauss Mixture Model Based Semi-Supervised Classification for Remote Sensing Image[J].Geomatics and Information Science of Wuhan University,2011(1):108-112. |
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| Authors: | XIONG Biao JIANG Wanshou LI Lelin |
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| Institution: | XIONG Biao1 JIANG Wanshou1 LI Lelin1 (1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China) |
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| Abstract: | Semi-Supervised Classification,which utilizes few labeled data assigned with unlabeled data to determine classification borders,has great advantages in extracting classification information from mass data.We find Gauss mixture can well fit the remote sensing image's spectral feature space,proposed a novel thought in which each class's feature space is described by one Gauss Mixture Model,and then use the thought in Semi-Supervised Classification.A large number of experiences shows that by using a small amou... |
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| Keywords: | classification of RS image semi-supervised classification Gauss mixture model |
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