机译:基于随机森林的高光谱图像分类的半监督熵新框架
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China;
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China,Henan Province Engineering Technology Research Center of Space Big-Data Acquisition Equipment Development and Application, Henan Polytechnic University, Jiaozuo 454000, China;
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China,Henan Province Engineering Technology Research Center of Space Big-Data Acquisition Equipment Development and Application, Henan Polytechnic University, Jiaozuo 454000, China;
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China,Henan Province Engineering Technology Research Center of Space Big-Data Acquisition Equipment Development and Application, Henan Polytechnic University, Jiaozuo 454000, China;
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China;
机译:基于随机森林的高光谱图像分类的半监督熵新框架
机译:高光谱图像的空间光谱分类:基于马尔可夫随机场的深度学习框架建模
机译:基于卷积神经网络和随机林的高光谱图像分类
机译:基于投影的随机林的特征独立分类高光谱图像
机译:基于区域的几何活动轮廓用于使用高光谱遥感影像进行分类
机译:校正:使用机载高光谱数据集对农业系统进行基于对象的随机森林图像分类的改进形状指数
机译:基于随机林的高光谱图像分类新的半质化熵框架