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机译:基于稀疏表示的多传感器图像融合,用于多重焦点和多模态图像:评论
Key Laboratory of Electronic Equipment Structure Design Ministry of Education Xidian University;
Center for Complex Systems School of Mechano-Electronic Engineering Xidian University;
Electrical and Computer Engineering Department Lehigh University;
School of Computing and Communications Lancaster University;
School of Information Technologies in the Faculty of Engineering and Information Technologies at the University of Sydney;
Image fusion; Sparse representation; Dictionary learning; Activity level;
机译:基于稀疏表示的多传感器图像融合,用于多重焦点和多模态图像:评论
机译:基于非负稀疏表示和补丁级一致性整流的多焦点图像融合
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机译:地理分布的多传感器LADAR图像3-D数据融合和配准的图形表示。
机译:等强度婴儿脑MR图像分割的稀疏多模式表示法和解剖学约束的集成
机译:基于非负稀疏表示的多焦点图像融合和补丁级一致性整流