| 浅析去相关拉伸及其在分类中的应用 |
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| 引用本文： | 杨宪平,蔡丽娜.浅析去相关拉伸及其在分类中的应用[J].测绘与空间地理信息,2012(6):175-177. |
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| 作者姓名： | 杨宪平 蔡丽娜 |
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| 作者单位： | 浙江海洋学院 |
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| 摘 要： | 很多情况下,我们得到的遥感影像是模糊难辨的。非监督分类作为最常用的分类手段之一,受这种情况影响严重。应用去相关拉伸处理,可以增强饱和度且保留色度信息,有利于图像解译。本文将在前人研究的基础上,利用光谱特征空间、频率分布直方图和非监督分类的结果分析去相关拉伸,并探究其在非监督分类中的应用。
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| 关 键 词： | 主成分变换 去相关拉伸 非监督分类 光谱特征空间 |
Analysis of De-Correlated Stretch and Exploration of the Application Thereof in Classification |
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| YANG Xian-ping,CAI Li-na.Analysis of De-Correlated Stretch and Exploration of the Application Thereof in Classification[J].Geomatics & Spatial Information Technology,2012(6):175-177. |
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| Authors: | YANG Xian-ping CAI Li-na |
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| Institution: | (Zhejiang Ocean University,Zhoushan 316004,China) |
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| Abstract: | In many cases,the remote sensing image we get is blurred.As one of the most widely used means of classification,unsupervised classification is affected severely by this phenomenon.The application of de-correlated stretch can enhance the color saturation while retaining chrominance information.Based on the research of predecessors,this paper analyses de-correlated stretch using spectral feature space,frequency distribution histograms and the outcome of unsupervised classification,and explores the application thereof in unsupervised classification. |
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| Keywords: | PCA de-correlation stretch unsupervised classification spectral feature space |
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