机译:捕获端成员类内光谱变异性的新型端成员束提取和聚类方法
Australian Centre for Field Robotics, School of Aerospace, Mechanical, and Mechatronic Engineering, The University of Sydney, Sydney, N.S.W., Australia;
Australian Centre for Field Robotics, School of Aerospace, Mechanical, and Mechatronic Engineering, The University of Sydney, Sydney, N.S.W., Australia;
Australian Centre for Field Robotics, School of Aerospace, Mechanical, and Mechatronic Engineering, The University of Sydney, Sydney, N.S.W., Australia;
Australian Centre for Field Robotics, School of Aerospace, Mechanical, and Mechatronic Engineering, The University of Sydney, Sydney, N.S.W., Australia;
Geometry; Data mining; Feature extraction; Hyperspectral imaging; Lighting; Shape; Indexes;
机译:端成员束:将端成员变异性纳入光谱混合物分析的新方法
机译:在端元类中纳入光谱变异性的新型光谱分解方法
机译:端成员提取和聚类的新方法,通过多尺度频带划分解决类间和类内变异
机译:考虑光谱变异性的末端构件束提取的原型分析
机译:在高光谱图像中查找最终成员类和最终成员。
机译:地理信息辅助的时间混合分析用于解决端成员类和端成员光谱变异性的问题
机译:自动提取基于图像的端元束,以改善光谱分离