Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net

被引：0
|
作者：
Hafner, Sebastian [1 ]
Nascetti, Andrea [1 ]
Azizpour, Hossein [2 ]
Ban, Yifang [1 ]
机构：
[1] Division of Geoinformatics, School of Architecture and the Built Environment, KTH Royal Institute of Technology, Stockholm,114 28, Sweden
[2] Division of Robotics, Perception and Learning, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm,112 45, Sweden
来源：
IEEE Geoscience and Remote Sensing Letters | 2022年 / 19卷
关键词：
403.1 Urban Planning and Development - 461.4 Ergonomics and Human Factors Engineering - 716.2 Radar Systems and Equipment - 723.2 Data Processing and Image Processing - 741.3 Optical Devices and Systems;
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摘要：
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