机译:TSLRLN:张力子空间低排名学习与非本地高光谱图像混合去噪
School of Computer and Software. Nanjing University of Information Science and Technology Nanjing 210044 China;
School of Computer and Software. Nanjing University of Information Science and Technology Nanjing 210044 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing 210044 China;
School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China;
School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing 210044 China;
School of Computer and Software. Nanjing University of Information Science and Technology Nanjing 210044 China;
School of Electronic and Electrical Engineering Sungkyunkwan University Suwon 440746 South Korea;
Hyperspectral image; Tensor subspace; Mixed denoising; Image restoration; Low-Rank learning;
机译:一种用于高光谱图像降噪的低秩张量字典学习方法
机译:通过子空间低秩表示和空间光谱总变化进行高光谱图像降噪
机译:通过子空间低秩表示和空间光谱总变化的高光谱图像去噪
机译:张量非局部低秩正则化以恢复压缩的高光谱图像
机译:通过应用于动态MRI重建的叠加建模,高光谱图像去噪,VIIRS数据和生物传感器数据去噪中的光检测信号估计
机译:扩散张量空间中的非局部均值去噪
机译:通过组合非局部自相似性和局部低级正则化的高光谱图像去噪