feature selection; geophysical image processing; hyperspectral imaging; image classification; remote sensing; support vector machines; vegetation; India; Indian Pine; band selection; band weighting; high dimensionality reduction; hyperplane margin maximization; hyperspectral datasets; hyperspectral image classification; hyperspectral imagery; support vector machine; Accuracy; Hyperspectral imaging; Support vector machines; Testing; Training; Band weighting and selection; classification; hyperspectral Imagery; support vector machine;
机译:基于矩阵的具有数据驱动分集的余量最大化频带选择,用于高光谱图像分类
机译:参加频段:高光谱频段加权和图像分类选择
机译:通过最大化类间距离进行波段加权以实现高光谱图像分类
机译:基于超平坦图像分类的超平面边缘最大化的频段加权和选择
机译:光谱带选择用于高光谱图像的整体分类,并应用于农业和食品安全。
机译:基于空间互信息的高光谱谱带分类
机译:基于超平面余量最大化的波段加权与选择用于高光谱图像分类