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Image Fusion Based on Kernel Estimation and Data Envelopment Analysis
Xie, Qiwei1,2; Chen, Xi1; Li, Lin3; Rao, Kaifeng4; Tao, Luo5; Ma, Chao6
2019-03-01
Source PublicationINTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
ISSN0219-6220
Volume18Issue:2Pages:487-515
AbstractThis paper reports the improvement of the image quality during the fusion of remote sensing images by minimizing a novel energy function. First, by introducing a gradient constraint term in the energy function, the spatial information of the panchromatic image is transferred to the fused results. Second, the spectral information of the multispectral image is preserved by importing a kernel function to the data fitting term in the energy function. Finally, an objective parameter selection method based on data envelopment analysis (DEA) is proposed to integrate state-of-the-art image quality metrics. Visual perception measurement and selected fusion metrics are employed to evaluate the fusion performance. Experimental results show that the proposed method outperforms other established image fusion techniques.
KeywordData envelopment analysis image fusion mutual information
DOI10.1142/S0219622019500032
Language英语
Funding ProjectNational Natural Science Foundation of China[61673381] ; National Natural Science Foundation of China[21307150] ; National Natural Science Foundation of China[61101219] ; Humanities and Social Science Fund, Beijing University of Technology[011000546318525] ; Social Science Foundation of Beijing[16JDGLC005] ; Project of Great Wall Scholar, Beijing Municipal Commission of Education[CIT TCD20170304] ; Project of Great Wall Scholar, Beijing Municipal Commission of Education[CIT TCD20180305] ; National High Technology Research and Development Program of China[2014AA06A506] ; Science and Technology Development Fund ofMacau[044/2015/A2] ; Frontier Science Key Program of the Chinese Academy of Sciences[QYZDY-SSW-DQC004] ; Science and Technology Planning Project of Guangdong Province, China[2016B02024007]
WOS Research AreaComputer Science ; Operations Research & Management Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Operations Research & Management Science
WOS IDWOS:000463144400004
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/34556
Collection期刊学会部
Corresponding AuthorMa, Chao
Affiliation1.Beijing Univ Technol, Data Min Lab, Sch Econ & Management, Beijing 100124, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China
5.Tianjin Univ, Sch Comp Sci & Technol, Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300072, Peoples R China
6.Macau Univ Sci & Technol, Fac Informat Technol, Taipa, Macau, Peoples R China
Recommended Citation
GB/T 7714
Xie, Qiwei,Chen, Xi,Li, Lin,et al. Image Fusion Based on Kernel Estimation and Data Envelopment Analysis[J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING,2019,18(2):487-515.
APA Xie, Qiwei,Chen, Xi,Li, Lin,Rao, Kaifeng,Tao, Luo,&Ma, Chao.(2019).Image Fusion Based on Kernel Estimation and Data Envelopment Analysis.INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING,18(2),487-515.
MLA Xie, Qiwei,et al."Image Fusion Based on Kernel Estimation and Data Envelopment Analysis".INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 18.2(2019):487-515.
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