Department of Computer Science Engineering, Rajshahi University of Engineering Technology, Rajshahi, Bangladesh;
Department of Computer Science Engineering, Rajshahi University of Engineering Technology, Rajshahi, Bangladesh;
Department of Computer Science Engineering, Rajshahi University of Engineering Technology, Rajshahi, Bangladesh;
Department of Computer Science Engineering, Rajshahi University of Engineering Technology, Rajshahi, Bangladesh;
Principal component analysis; Feature extraction; Hyperspectral imaging; Entropy; Support vector machines; Image classification;
机译:基于对高光谱图像分类的光谱和空间信息的测量的有效子空间检测
机译:基于跨尺寸超像素的高光谱图像分类使用KPCA在子空间中使用
机译:基于DWT和歧管约束子空间学习的跨场景高光谱图像分类
机译:基于交叉累积剩余熵的高光谱图像分类的有效子空间检测
机译:卡尔曼滤波和子空间投影方法对多光谱和高光谱图像进行分类。
机译:使用跨累积残差熵的非刚性多模态图像配准
机译:通过交叉累积残差熵最大化配准高光谱和三色图像