机译:从亚像素到超像素:一种用于高光谱图像分类的新型融合框架
College of Electrical and Information Engineering, Hunan University, Changsha, China;
College of Electrical and Information Engineering, Hunan University, Changsha, China;
College of Electrical and Information Engineering, Hunan University, Changsha, China;
School of Engineering and Information Technology, University of New South Wales, Canberra, Australia;
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavk, Iceland;
Feature extraction; Hyperspectral imaging; Support vector machines; Data mining; Geometry; Probabilistic logic;
机译:Subpixel-Pixel-Superpixel引导融合用于高光谱异常检测
机译:基于Superpixel和多分类器融合的光谱 - 空间高光谱图像分类
机译:Cascade Superpixel正规化的Gabor特征融合,用于高光谱图像分类
机译:基于多尺度超像素的高光谱图像融合框架
机译:约束最小二乘光谱分解,用于高光谱和多光谱图像中子像素目标的检测,分类和量化。
机译:基于SLIC基于超像素的l21-范数鲁棒主成分分析用于高光谱图像分类
机译:高光谱和LIDAR数据分类的多个特征的超顶序决策融合
机译:基于激光雷达数据融合的亚像素映射高光谱图像稀疏建模。