机译:遥感数据的近似计算:以SVM高光谱图像分类为例
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;
Institute of Circuits and Systems, Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China;
Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain;
Institute of Circuits and Systems, Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China;
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;
Hyperspectral imaging; Support vector machines; Resilience; Algorithm design and analysis;
机译:使用多GPU计算智能分类大型远程感测的高光谱图像
机译:基于SVM的数据编辑可增强遥感图像的一类分类
机译:一种改进的SVM方法P-SVM用于遥感数据分类
机译:远程感测高光谱成像中的高性能计算:像素纯度指标算法作为案例研究
机译:超类:一种用于高光谱遥感数据的无监督分类方法。
机译:利用自组织图上的遥感高光谱数据对棉花轮虫的数量进行分类
机译:计算地统计图像纹理以进行遥感数据分类
机译:通过均匀物体的提取和分类对遥感多光谱图像数据进行计算机分类