机译:基于局部和非局部上下文感知的弹性网表示的高光谱图像分类
Department of Computer Science and Engineering and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China;
Department of Computer Science and Engineering and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China;
Department of Computer Science and Engineering and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China;
Guangxi University of Science and Technology, School of Science, Liuzhou, China;
Department of Computer Science and Engineering and with the Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China;
Department of Computer Science and Engineering and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China;
Hyperspectral imaging; Context modeling; Collaboration; Optimization; Computer science; Dictionaries;
机译:基于群体稀疏表示的高光谱图像分类的局部敏感性判别分析
机译:FMRSS Net:基于快速矩阵表示的光谱空间特征学习卷积神经网络用于高光谱图像分类
机译:FMRSS NET:基于FAST矩阵表示的光谱空间特征学习卷积神经网络进行高光谱图像分类
机译:基于关节稀疏表示的极孔的非局部重量基于基于极栅分类
机译:城市环境中高光谱图像的神经网络分类:案例研究。
机译:基于非局部空间和局部光谱相似度的群稀疏表示用于高光谱图像分类
机译:FMRSS NET:基于FAST矩阵表示的光谱空间特征学习卷积神经网络进行高光谱图像分类