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Hyperspectral data classification based on flexible momentum deep convolution neural network
Yue, Qi1,2,3; Ma, Caiwen2,3
Department光电测量技术实验室
2018-02-01
Source PublicationMULTIMEDIA TOOLS AND APPLICATIONS
ISSN1380-7501
Volume77Issue:4Pages:4417-4429
Contribution Rank1
Abstract

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.

 

KeywordFeature Extraction Deep Neural Network Elastic Momentum Hyperspectral Data Classification Target Detection Support Vector Machine (Svm)
Subject AreaComputer Science, Information Systems
DOI10.1007/s11042-017-4734-6
Indexed BySCI ; EI
Language英语
WOS IDWOS:000425296500021
EI Accession Number20180104607664
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30752
Collection光电测量技术实验室
Corresponding AuthorYue, Qi
Affiliation1.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
Recommended Citation
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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