| 纹理特征在Aster影像数据分类中的应用 |
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| 引用本文： | 张则飞,邢立新. 纹理特征在Aster影像数据分类中的应用[J]. 吉林大学学报(地球科学版), 2006, 0(Z1) |
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| 作者姓名： | 张则飞 邢立新 |
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| 作者单位： | [1]吉林大学地球探测科学与技术学院 [2]吉林大学地球探测科学与技术学院 长春 |
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| 摘 要： | 利用灰度共生矩阵的多光谱影像纹理分析的方法,实现了利用k-mean算法对Aster影像数据进行分类,并对基于单波段影像纹理的分类结果、单纯光谱信息分类结果和结合基于主要波段影像纹理的分析方法及在分类过程中结合掩膜等技术所得纹理特征影像分类结果进行比较。
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| 关 键 词： | 灰度共生矩阵 多光谱影像 Aster数据 特征提取 |
Application of Texture Feature in Aster Images Classification |
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| ZHANG Ze-fei,XING Li-xin College of GeoExploration Science and Technology,Jilin University,Changchun,,China. Application of Texture Feature in Aster Images Classification[J]. Journal of Jilin Unviersity:Earth Science Edition, 2006, 0(Z1) |
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| Authors: | ZHANG Ze-fei XING Li-xin College of GeoExploration Science Technology Jilin University Changchun China |
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| Affiliation: | ZHANG Ze-fei,XING Li-xin College of GeoExploration Science and Technology,Jilin University,Changchun,130026,China |
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| Abstract: | On the basis of the analysis of the methods based on gray level cooccurrence matrix,we realize the extraction of texture feature,using spectral feature and texture feature.We use k-mean clustering algorithm to get the classification of the Aster images.Finally,the results will be compared and discussed. |
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| Keywords: | gray level cooccurrence matrix multi-spectral images Aster data feature extraction |
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