机译:结合了来自时间序列的较高分辨率数据的时间特征的较高分辨率遥感数据的土地覆盖分类
State Key Laboratory of Remote Sensing Science, and College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;
State Key Laboratory of Remote Sensing Science, and College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China,Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA;
Center of Remote Sensing Applications, Ministry of Housing and Urban-Rural Development of the People's Republic of China, China;
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
State Key Laboratory of Remote Sensing Science, and College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;
State Key Laboratory of Remote Sensing Science, and College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;
State Key Laboratory of Remote Sensing Science, and College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;
Land cover; Finer resolution; Temporal features; Classification; Landsat 8; Fusion;
机译:通过融合粗略空间分辨率的粗略空间分辨率和精细空间分辨率陆地覆盖图,产生一系列精细空间和时间分辨率的陆覆盖图
机译:通过将高空间分辨率多光谱数据与从粗分辨率时间序列植被指数数据中提取的特征进行集成来进行作物类型识别
机译:黑河流域使用多个分类器和多源遥感数据的精细分辨率土地覆盖制图
机译:中分辨率遥感时间序列数据对建成土地覆盖变化的辐射敏感性评估框架
机译:利用高分辨率遥感数据深度学习土地覆盖分类和环境分析
机译:基于多时相高分辨率遥感数据的巴尔的摩都会区基于对象的土地覆盖分类和变化分析
机译:通过融合粗糙的空间分辨率遥感图像和精细的空间分辨率土地覆盖图,生成一系列精细的空间和时间分辨率土地覆盖图