Remote sensing image fusion through kernel estimation based on energy minimization
Qiwei Xie; Zheng Liu; Qian Long; Seiichi Mita; An Jiang
2014
会议名称IEEE 17th International Conference on Intelligent Transportation System
会议录名称IEEE 17th International Conference on Intelligent Transportation System
会议日期October 8-11, 2014
会议地点Qingdao
摘要
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.
 
关键词Image Fusion
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12455
专题国家专用集成电路设计工程技术研究中心
通讯作者Qiwei Xie
作者单位1.Research Center for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi, 468-8511
2.InstituteofAutomation,ChineseAcademyofSciences,Beijing,100190, China
推荐引用方式
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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