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| 基于蚁群算法的遥感图像聚类方法 | |
| 引用本文： | 周爽,张钧萍,张枫,苏宝库.基于蚁群算法的遥感图像聚类方法[J].哈尔滨工程大学学报,2009,30(2). |
| 作者姓名： | 周爽 张钧萍 张枫 苏宝库 |
| 作者单位： | 1. 哈尔滨工业大学电子与信息技术研究院,黑龙江哈尔滨,150001;哈尔滨工业大学航天学院,黑龙江哈尔滨,150001 2. 哈尔滨工业大学电子与信息技术研究院,黑龙江哈尔滨,150001 3. 空军驻黑龙江地区军事代表室,黑龙江哈尔滨,150001 4. 哈尔滨工业大学航天学院,黑龙江哈尔滨,150001 |
| 摘 要： | 聚类分析是遥感图像非监督分类的有效方法,蚁群算法具有离散性和并行性的特点,蚂蚁觅食行为、蚂蚁堆积尸体行为和基于蚂蚁自我聚集行为的聚类算法是目前研究较为广泛的3种基于蚂蚁的仿生聚类算法.为验证上述3种算法的有效性,在对这3种聚类算法进行研究的基础上,针对遥感图像进行了聚类实验.实验结果表明,基于蚂蚁的聚类方法对图像的聚类分析是有效的,较传统的k均值和模糊C均值算法有一定优越性. |
| 关 键 词： | 蚁群算法 遥感图像 聚类分析 |
Clustering method for remote sensing images based on an ant colony algorithm |
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| ZHOU Shuang,ZHANG Jun-ping,ZHANG Feng,SU Bao-ku.Clustering method for remote sensing images based on an ant colony algorithm[J].Journal of Harbin Engineering University,2009,30(2). | |
| Authors: | ZHOU Shuang ZHANG Jun-ping ZHANG Feng SU Bao-ku |
| Affiliation: | 1.School of Electronics and Information Technology;Harbin Institute of Technology;Harbin 150001;China;2.School of Astronautics;3.Airforce Office in Heilongjiang;China |
| Abstract: | Cluster analysis is the most efficient unsupervised classification method for remote sensing images.We studied three typical bio-inspired ant colony clustering algorithms because of their characteristics of discreteness and parallelization.They are based on the behavior of ants that are: searching for food;accumulating dead bodies;self clustering behavior.In order to test the efficiency of these bio-inspired clustering algorithms,experiments were conducted using them on remote sensing images.The characteris... |
| Keywords: | ant colony algorithm remote sensing image cluster analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |