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机译:通过耦合稀疏非负矩阵分解实现全色和多光谱图像的融合
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China;
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China;
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China;
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China;
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China;
Dictionaries; Spatial resolution; Matrix decomposition; Sparse matrices; Transforms; Optimization; Remote sensing;
机译:使用多尺度卷积稀疏分解的全光谱和多光谱图像的融合
机译:用于全色和多光谱图像融合的卷积结构稀疏编码
机译:通过张量的稀疏建模和超级拉普拉斯先前融合了全谱和多光谱遥感图像的融合
机译:基于非负矩阵分解的高光谱,多光谱和全色数据融合
机译:奇异值分解和非负矩阵分解在图像压缩中的应用。
机译:使用乘法更新和非负矩阵分解问题的稀疏非负最小二乘的统一框架
机译:具有光谱矩阵分解和空间稀疏约束的多光谱图像的联合空间光谱分辨率