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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。 图10表2参7Abstract: 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. [Ch,10 fig. 2 tab. 7 ref.]
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https://zlxb.zafu.edu.cn/article/doi/10.11833/j.issn.2095-0756.2012.01.013
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