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高光谱分类EM算法及噪声的处理
引用本文:杨哲海,王扈,徐晓密,周玉岩.高光谱分类EM算法及噪声的处理[J].海洋测绘,2005,25(6):18-21.
作者姓名:杨哲海  王扈  徐晓密  周玉岩
作者单位:1. 解放军信息工程大学,测绘学院,河南,郑州,450052
2. 69028部队,新疆,乌鲁木齐,830006
3. 65015部队,辽宁,大连,116023
摘    要:简要介绍了高光谱遥感发展的现状,讲述了EM算法的工作原理及其在高光谱影像分类中的具体计算方法,对于噪声,采用一定的方法加以判断并予以剔除,对余下的未标识样本点给与适当的权值,并应用于EM算法的迭代过程中.通过实验验证,经过去噪处理的EM算法可以有效地改善高光谱影像分类结果.

关 键 词:遥感  高光谱  期望极大值算法  噪声
文章编号:1671-3044(2005)06-0018-04
收稿时间:2005-05-08
修稿时间:2005-09-02

Dealing with the Noise and EM Algorithm in Hyperspectral Classification
YANG Zhe-hai,WANG Hu,XU Xiao-mi,ZHOU Yu-yan.Dealing with the Noise and EM Algorithm in Hyperspectral Classification[J].Hydrographic Surveying and Charting,2005,25(6):18-21.
Authors:YANG Zhe-hai  WANG Hu  XU Xiao-mi  ZHOU Yu-yan
Institution:1. Institute of Surveying and Mapping ,Information Engineering University, Zhengzhou, Henan ,450052; 2. 69028 Troops,Wulumuqi,Xinjiang,830006; 3. 65015 Troops, Dalian, Liaoning, 116023
Abstract:The paper first introduced the development of hyperspectral remote sensing, then discussed the fundamental of EM algorithm and the definite calculating process in hyperspectral classification, finally the author proposed the method to deal with noise, including the estimation of the noise and assigning appropriate weights to the unlabeled samples. The experiments demonstrated that the ameliorated EM algorithm can effectively enhance the hyperspectral classification performance.
Keywords:remote sensing  hyperspeetral  EM algorithm  noise
本文献已被 CNKI 维普 万方数据 等数据库收录!
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