机译:利用电感表示学习网络使用光谱和空间图进行高光谱图像分类
Faculty of Information Technology Beijing University of Technology Beijing China;
Faculty of Information Technology Beijing University of Technology Beijing China;
Traffic Management Research Institute of the Ministry of Public Security Wuxi China;
Faculty of Information Technology Beijing University of Technology Beijing China;
Traffic Management Research Institute of the Ministry of Public Security Wuxi China;
Faculty of Information Technology Beijing University of Technology Beijing China;
Hyperspectral imaging; Aggregates; Feature extraction; Learning systems; Training; Convolution; Support vector machines;
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:空间谱局部性约束的低秩表示与半监督超图学习的高光谱图像分类
机译:基于空间光谱图正则化的高光谱图像核稀疏表示分类的GPU并行优化
机译:主动学习技术在高光谱数据光谱空间分类中的研究进展
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