机译:结合光谱和纹理特征的交叉比对方法评估Landsat-8 OLI卫星图像
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, China;
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, China;
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China;
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, China;
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, China;
Landsat-8 satellite; Multispectral remote sensing; Quality evaluation; Spectral and texture features; Texture feature;
机译:利用Landsat-8 OLI影像使用光谱和纹理特征监测塑料耕地
机译:利用Landsat-8 OLI影像评估冰川湖制图的有效光谱特征
机译:利用Landsat-8 OLI图像光谱信息和纹理特征估算玉米残留量
机译:基于特征自适应组合纹理和光谱分布的高分辨率卫星图像分割
机译:比较使用高分辨率多光谱卫星图像提取和分类运输特征的基于光谱对象的方法。
机译:基于双极化Sentinel-1ALandsat-8 OLI和Hyperion图像的多传感器卫星图像的多特征分类用于城市土地覆盖分类
机译:利用Landsat-8 OLI影像监测塑料覆盖农田的光谱和纹理特征
机译:利用高分辨率多光谱卫星影像中的纹理特征进行检索