机译:使用深度学习从多立体ZY-3卫星图像中移除厚的云
Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China;
Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China;
China Univ Geosci Sch Geog & Informat Engn Wuhan 430074 Peoples R China;
Chinese Acad Surveying & Mapping Beijing 100830 Peoples R China;
Nanjing Univ Informat Sci & Technol Sch Marine Sci Nanjing 210044 Peoples R China;
Shenzhen Univ Shenzhen Key Lab Spatial Smart Sensing & Serv Shenzhen 518060 Peoples R China;
Clouds; Remote sensing; Satellites; Machine learning; Convolution; Neural networks; Training; Cloud detection; cloud removal; convolution neural networks (CNNs); deep learning;
机译:使用逐步时空斑块组深度学习在多时相影像中去除厚云和云影
机译:在厚度云移除厚云中,在多级图像中综合使用
机译:利用字典组学习和非局部联合稀疏稀疏编码技术从高分辨率卫星图像中去除光学厚云
机译:基于改进同态滤波方法的ZY-3图像薄云去除
机译:培养深层模型的优化与基于深度学习的点云分析和图像分类
机译:基于稀疏字典学习的自适应补丁修补方法从高空间分辨率遥感影像中去除厚云
机译:利用多频saR数据去除多光谱卫星图像中的光厚云