| 基于非负矩阵分解的航拍图像信息提取 |
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| 引用本文： | 郝红,徐常青,张新平.基于非负矩阵分解的航拍图像信息提取[J].浙江林学院学报,2012,29(1):72-77. |
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| 作者姓名： | 郝红 徐常青 张新平 |
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| 作者单位： | 浙江农林大学环境与资源学院,浙江临安,311300 |
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| 基金项目： | 国家自然科学基金资助项目（10871230）;国家高技术研究发展计划（“863”计划）项目（2006AA122109）;浙江农林大学研究生科研创新基金资助项目（2112009044） |
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| 摘 要： | 为研究非负矩阵分解(NMF)算法的优越性,将此方法应用于航拍图像的信息提取.在对航拍图像进行信息提取时,与传统的主成分分析方法进行了比较.通过选取不同的特征值r与Eignum进行实验.结果表明:当r=20,50时,应用本研究算法的运行时间小于Eignum=20,50时主成分分析的运行时间；并对r=50,Eignum=50时进行了识别率比较,应用此方法的识别率更高,证明了非负矩阵分解算法在航拍图像应用中的时间短、识别率高的优越性.
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| 关 键 词： | 森林经理学 非负矩阵分解 航拍图像 主成分分析 特征值 |
Aerial image information extraction based on non-negative matrix factorization |
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| HAO Hong
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XU Chang-qing
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ZHANG Xin-ping.Aerial image information extraction based on non-negative matrix factorization[J].Journal of Zhejiang Forestry College,2012,29(1):72-77. |
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| Authors: | HAO Hong XU Chang-qing ZHANG Xin-ping |
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| Institution: | (School of Environmental and Resource Sciences, Zhejiang A ＆ F University, Lin＇an 311300, Zhejiang, China) |
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| Abstract: | This study was on superiority of the non-negative matrix factorization（NMF） algorithm for application of information extracted with aerial images.First,NMF was used for aerial image information extraction,and then this data was compared with a principal component analysis（PCA） in which r（the number of rows or columns of basic matrix） and Eignum（the number of eigenvalues） were given different values.Experimental results showed that the run time of NMF with r = 20 or 50 was less than that of PCA with an Eignum = 20 or 50.Also,the recognition rate of NMF with r = 50 was higher than that of an Eignum = 50.The experiment showed that non-negative matrix factorization had advantages of a short time period with a high recognition rate. |
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| Keywords: | forest management non-negative matrix factorization（NMF） aerial image principle component analysis（PCA） eigenvalue |
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