| 一种新的无监督的卫星影像变化检测算法 |
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| 引用本文： | 贾振红.一种新的无监督的卫星影像变化检测算法[J].光电子．激光,2011(3):461-464. |
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| 作者姓名： | 贾振红 |
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| 作者单位： | 新疆大学信息科学与工程学院； |
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| 基金项目： | 科技部国际科技合作项目(2009DFA12870);;教育部促进与美大地区科研合作与高层次人才培养项目 |
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| 摘 要： | 提出了一种基于主分量分析(PCA)和上下截集模糊Kohonen聚类网络(UDSFKCN)的、无监督的、不同时相的和卫星影像的像素级变化检测新算法.将PCA和UDSFKCN两种方法结合,并将它应用于不同时相的卫星影像的变化检测.该方法结合每个像素的邻域信息,利用PCA,产生每个像素对应的基于邻域信息的特征向量;又将变化区...
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| 关 键 词： | 主分量分析(PCA) 上下截集模糊Kohonen聚类网络(UPSFKCN) 无监督变化检测 多时相卫星影像 遥感 |
A novel unsupervised change detection algorithm for satellite images |
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| JIA Zhen-hong,HU Raphael.A novel unsupervised change detection algorithm for satellite images[J].Journal of Optoelectronics·laser,2011(3):461-464. |
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| Authors: | JIA Zhen-hong HU Raphael |
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| Affiliation: | College of Information Science and Engineering,Xinjiang University,Urumqi 830046,China |
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| Abstract: | An unsupervised change detection algorithm for multi-temporal satellite images based on principal component analysis(PCA) and up-down-set fuzzy Kohonen clustering network(UDSFKCN) is proposed in this paper.This method generated eigenvector corresponding to every pixel combining itself with its neighbours using principal component analysis.At the same time,the detection of the changed pixel in a region was converted into the classification between two groups,changed group and unchanged group.Sinc... |
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| Keywords: | principal component analysis(PCA) up-down-set fuzzy Kohonen clustering network(UDSFKCN) unsupervised change detection multi-temporal satellite images remote sensing |
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