CASIA OpenIR  > 国家专用集成电路设计工程技术研究中心
Remote sensing image fusion through kernel estimation based on energy minimization
Qiwei Xie; Zheng Liu; Qian Long; Seiichi Mita; An Jiang
2014
Conference NameIEEE 17th International Conference on Intelligent Transportation System
Source PublicationIEEE 17th International Conference on Intelligent Transportation System
Conference DateOctober 8-11, 2014
Conference PlaceQingdao
Abstract
This paper reports the improvement of image quality issue in the fusion of remote sensing images by minimizing an energy function. By gradient constraint term of the energy function, the spatial information of the panchromatic imagewastransferredtofusedresults.Thespectralinformation of multispectral image was preserved by importing a kernel function to the data fitting term of the energy function. Visual perception measurement and selected fusion metrics were employed to evaluate the fusion performance. Experimental results demonstrated the proposed method outperforms other established image fusion techniques.
 
KeywordImage Fusion
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12455
Collection国家专用集成电路设计工程技术研究中心
Corresponding AuthorQiwei Xie
Affiliation1.Research Center for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi, 468-8511
2.InstituteofAutomation,ChineseAcademyofSciences,Beijing,100190, China
Recommended Citation
GB/T 7714
Qiwei Xie,Zheng Liu,Qian Long,et al. Remote sensing image fusion through kernel estimation based on energy minimization[C],2014.
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