| 一种主扫描图象的二进制特征向量动态聚类方法 |
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| 引用本文： | 安斌,陈书海,张平,严卫东.一种主扫描图象的二进制特征向量动态聚类方法[J].光子学报,1999,28(5):473-477. |
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| 作者姓名： | 安斌 陈书海 张平 严卫东 |
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| 作者单位： | 西北核技术研究所69信箱14分箱,西安,710024 |
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| 摘 要： | 不同类型的地物,由于辐射光谱分布不同,在多维光谱空间中构成不同的特征向量,这些向量可以用二进制数码表征。本文介绍的动态聚类方法便是一种基于二进制特征向量的非监督分类方法。此方法成功地用于主扫描图象分类.
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| 关 键 词： | 主扫描图象 二进制特征向量 Hamming距离 聚类 |
| 收稿时间： | 1999-04-07 |
AN UNSUPERVISED DYNAMIC CLUSTERING ALGORITHM FOR LANDSAT THEMATIC MAPPER BASED ON A VECTOR OF BINARY FEATURES |
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| An Bin,Chen Shuhai,Zhang Ping,Yan Weidong.AN UNSUPERVISED DYNAMIC CLUSTERING ALGORITHM FOR LANDSAT THEMATIC MAPPER BASED ON A VECTOR OF BINARY FEATURES[J].Acta Photonica Sinica,1999,28(5):473-477. |
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| Authors: | An Bin Chen Shuhai Zhang Ping Yan Weidong |
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| Institution: | Northwest Institute of Nuclear Technology P. O. Box 69-14, Xi’an 710024 |
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| Abstract: | Different types of terrain would lie on the different site in the spectral space,which correspond
to a vector of binary spectral features.The reflecting spectral of terrain could be described
conveniently and exactly with the binary vector presented by Mark.J.Carlotto 1 in 1996.This
vector consists of several binary codes,which result from relative value between bands.In this
paper,a unsupervised clustering algorithm for Landsat thematic mapper based on a vector of
binary spectral features is presented,The algorithm could be used to cluster TM data
successfully compared with K mean clustering algorithm. |
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| Keywords: | Thematic mapper Vector of binary features Hamming distance Clustering |
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