| 基于遗传聚类算法和小波变换特征的自动分类 |
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| 引用本文： | 李霆,陈学佺,邹晓涛.基于遗传聚类算法和小波变换特征的自动分类[J].计算机工程,2003,29(2):153-154,254. |
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| 作者姓名： | 李霆 陈学佺 邹晓涛 |
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| 作者单位： | 中国科学技术大学电子工程与信息科学系,合肥,230027 |
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| 摘 要： | 研究了遥感影像的特点，提出了一种基于图像的正交小波变换构造特征，同时引入遗传聚类的分类方法，实现了遥感影像的自动分类。实验表明，将遗传聚类算法与小波特征相结合的分类方法具有自动、快速、自适应的优点，能克服传统分类方法中由于样本选择而产生的局限性，提高了识别的正确率。
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| 关 键 词： | 遗传算法 聚类分析 小波变换 自动分类 |
| 文章编号： | 1000-3428(2003)02-0153-02 |
Auto-classification Based on Genetic Algorithm and Cluster Analysis and Orthogonal Wavelet Transform Feature |
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| LI Ting,CHEN Xuequan,ZOU Xiaotao.Auto-classification Based on Genetic Algorithm and Cluster Analysis and Orthogonal Wavelet Transform Feature[J].Computer Engineering,2003,29(2):153-154,254. |
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| Authors: | LI Ting CHEN Xuequan ZOU Xiaotao |
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| Abstract: | The problem of remote sensing texture images is studied by means of orthogonal wavelet transform features and genetic algorithm and cluster analysis and the images are classified with auto-classification .The experiment results show that automaticity,speediness and auto-adapting could be obtained in genetic cluster algorithm with orthogonal wavelet transform features. And this method overcomes the limitation of traditional classification by selecting samples and gets higher accuracy. |
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| Keywords: | Genetic algorithm Cluster analysis Wavelet transform Auto-classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
