机译:基于核联合稀疏表示的加权多特征高光谱图像分类
Xidian Univ, Int Res Ctr Intelligent Percept & Computat, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China;
Xidian Univ, Int Res Ctr Intelligent Percept & Computat, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China|MIT, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA;
Xidian Univ, Int Res Ctr Intelligent Percept & Computat, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China;
Xidian Univ, Int Res Ctr Intelligent Percept & Computat, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China;
Xidian Univ, Int Res Ctr Intelligent Percept & Computat, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China;
Xidian Univ, Int Res Ctr Intelligent Percept & Computat, Key Lab Intelligent Percept & Image Understanding, Minist Educ, Xian 710071, Peoples R China;
Hyperspectral imagery classification; kernel trick; joint sparse representation; feature extraction;
机译:加权核联合稀疏表示用于高光谱图像分类
机译:基于多特征的高光谱图像分类的类级联合稀疏表示
机译:快速多特征联合稀疏表示用于高光谱图像分类
机译:高光谱图像的自适应和旋转非局部加权关节稀疏表示分类
机译:用于高光谱图像中目标检测和分类的稀疏表示。
机译:基于多样性密度和稀疏表示模型的高光谱图像改进的分类方法
机译:高光谱图像目标检测通过加权关节K到最近的邻居和多址学习稀疏表示
机译:基于核稀疏表示的高光谱图像分类。