Hyperspectral Computing Laboratory Department of Technology of Computers and Communications. University of Extremadura, Caceres, Spain;
Hyperspectral Computing Laboratory Department of Technology of Computers and Communications. University of Extremadura, Caceres, Spain;
Hyperspectral Computing Laboratory Department of Technology of Computers and Communications. University of Extremadura, Caceres, Spain;
Hyperspectral Computing Laboratory Department of Technology of Computers and Communications. University of Extremadura, Caceres, Spain;
Jiangsu Key Laboratory of Big Data Analysis Technology Nanjing University of Information Science and Technology;
Jiangsu Key Laboratory of Big Data Analysis Technology Nanjing University of Information Science and Technology;
Multicore processing; Remote sensing; Convolutional codes; Support vector machines; Training; Kernel; Feature extraction;
机译:基于金字塔结构的遥感影像自适应参数估计和分类
机译:使用多尺度分类方法从遥感影像中划定河流
机译:遥感影像多尺度自适应分割的边界调整算法
机译:多级自适应深金字塔匹配模型对远程感测图像分类的多核实现
机译:使用金字塔结构对遥感影像进行自适应参数估计和分类。
机译:应用分类树模型通过来自不同传感器和日期的遥感图像绘制水生植被的方法
机译:在远程感测卫星图像分类中使用数字小波/ QMF金字塔的潜力