Co-registration and residual correction of digital elevation models: a comparative study
Tao Li,Yuanlin Hu,Bin Liu,Liming Jiang,Hansheng Wang,and Xiang Shen
Tao Li
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China
Yuanlin Hu
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, 430074, China
Bin Liu
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China
Hansheng Wang
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
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Total article views: 2,692 (including HTML, PDF, and XML)
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Total article views: 1,907 (including HTML, PDF, and XML)
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Raw DEMs are often misaligned with each other due to georeferencing errors, and a co-registration process is required before DEM differencing. We present a comparative analysis of the two classical DEM co-registration and three residual correction algorithms. The experimental results show that rotation and scale biases should be considered in DEM co-registration. The new non-parametric regression technique can eliminate the complex systematic errors, which existed in the co-registration results.
Raw DEMs are often misaligned with each other due to georeferencing errors, and a...
