机译:具有有限训练样本的高光谱分类的丰度指示子空间
Sun Yat Sen Univ, Guangdong Prov Key Lab Urbanizat & Geosimulat, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China;
Hunan Univ, Key Lab Visual Percept & Artificial Intelligence, Changsha 410082, Hunan, Peoples R China|Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China;
Helmholtz Zentrum Dresden Rossendorf, Helmholtz Inst Freiberg Resource Technol, D-09599 Freiberg, Germany;
UiT Arctic Univ Norway, Earth Observat Grp, Ctr Integrated Remote Sensing & Forecasting Arcti, Dept Phys & Technol, N-9037 Tromso, Norway;
Univ Pavia, Dept Elect Comp & Biomed Engn, Telecommun & Remote Sensing Lab, I-27100 Pavia, Italy;
Beihang Univ, Beijing Key Lab Digital Media, Sch Comp Sci & Engn, Beijing 100191, Peoples R China|Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China;
Hyperspectral image classification; mixed pixels; mutinomial logistic regression (MLR); spectral unmixing; subspace learning;
机译:有限训练样本的高光谱分类的丰富子空间
机译:用于高光谱图像分类的双路径暹罗CNN,具有有限的训练样本
机译:轻量级卷积神经网络和深度聚类的有限学习样本协同学习用于高光谱图像半监督分类
机译:使用特征子空间的有限训练数据样本进行高光谱图像分类
机译:高光谱图像分类的迭代培训抽样和主动学习方法
机译:使用有限训练样本的胶囊网络进行高光谱图像分类
机译:用有限训练样本分类高光谱图像的特征提取的未经选择的样本