Hyperspectral data classification based on flexible momentum deep convolution neural network | |
Yue, Qi1,2,3; Ma, Caiwen2,3 | |
作者部门 | 光电测量技术实验室 |
2018-02-01 | |
发表期刊 | MULTIMEDIA TOOLS AND APPLICATIONS |
ISSN | 1380-7501 |
卷号 | 77期号:4页码:4417-4429 |
产权排序 | 1 |
摘要 | Classification is a hot topic in hyperspectral remote sensing community. In the last decades, numerous effort has been concentrate on the classification problem. However, most of the methods accuracy is not high enough due to the fact that they do not extract features in a deep manner. In this paper, a new hyperspectral data classification skeleton based on exponential flexible momentum deep convolution neural network (EFM-CNN) is proposed. First, the fitness of convolution neural network is substantiated by following classical spectral information-based classification. Then, a novel deep architecture is proposed, which is a hybrid of principle component analysis (PCA), improved convolution neural network based on exponential flexible momentum and support vector machine (SVM). Experimental results indicate that the classifier can effectively improve the accuracy with the state-of-the-art algorithms. And compared with homologous parameters momentum updating methods such as adaptive momentum method, standard momentum gradient method and elastic momentum method, on LeNet5 net and multiple neural network, the accuracy obtained of proposed algorithm increases by 2.6% and 6.5% on average respectively.
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关键词 | Feature Extraction Deep Neural Network Elastic Momentum Hyperspectral Data Classification Target Detection Support Vector Machine (Svm) |
学科领域 | Computer Science, Information Systems |
DOI | 10.1007/s11042-017-4734-6 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000425296500021 |
EI入藏号 | 20180104607664 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30752 |
专题 | 光电跟踪与测量技术研究室 |
通讯作者 | Yue, Qi |
作者单位 | 1.Xian Univ Posts & Telecommun, Xian 710121, Shaanxi, Peoples R China; 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China |
推荐引用方式 GB/T 7714 | Yue, Qi,Ma, Caiwen. Hyperspectral data classification based on flexible momentum deep convolution neural network[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(4):4417-4429. |
APA | Yue, Qi,&Ma, Caiwen.(2018).Hyperspectral data classification based on flexible momentum deep convolution neural network.MULTIMEDIA TOOLS AND APPLICATIONS,77(4),4417-4429. |
MLA | Yue, Qi,et al."Hyperspectral data classification based on flexible momentum deep convolution neural network".MULTIMEDIA TOOLS AND APPLICATIONS 77.4(2018):4417-4429. |
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