Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5299-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-5299-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Co-registration and residual correction of digital elevation models: a comparative study
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
Liming Jiang
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
Xiang Shen
CORRESPONDING AUTHOR
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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Cited
13 citations as recorded by crossref.
- Unlocking the Past: A review of digital processing of historical aerial and satellite stereo analog imagery for geoscience applications L. Piermattei et al. https://doi.org/10.1109/MGRS.2025.3645144
- Elevation bias due to penetration of spaceborne radar signal on Grosser Aletschgletscher, Switzerland J. Bannwart et al. https://doi.org/10.1017/jog.2024.37
- Evaluating Digital Elevation Model generation from Sentinel-1 SAR data in challenging tropical environments Z. Zylshal et al. https://doi.org/10.1007/s40808-024-02171-4
- Applications of ArcticDEM for measuring volcanic dynamics, landslides, retrogressive thaw slumps, snowdrifts, and vegetation heights C. Dai et al. https://doi.org/10.1016/j.srs.2024.100130
- Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data L. Piermattei et al. https://doi.org/10.5194/tc-18-3195-2024
- Assessing glacier thickness changes with multi-temporal UAV-derived DEMs: The evolution of Forni Glacier over the period 2014–2022 V. Belloni et al. https://doi.org/10.1016/j.jag.2025.104547
- Volume changes at Santiaguito volcano between 2011 and 2019 based on TanDEM-X InSAR data A. Edrich et al. https://doi.org/10.3389/feart.2025.1643038
- Co-registration and residual correction of digital elevation models: a comparative study T. Li et al. https://doi.org/10.5194/tc-17-5299-2023
- Improving urban catchment delineation through comparative DEM accuracy assessment and bias correction techniques A. Mishra et al. https://doi.org/10.1016/j.srs.2026.100463
- A Robust DEM Registration Method via Physically Consistent Image Rendering Y. Li et al. https://doi.org/10.3390/app16031238
- Estimating Mercury and Arsenic Release from the La Soterraña Abandoned Mine Waste Dump (Asturias, Spain): Source-Term Reconstruction Using High-Accuracy UAV Surveys and Historical Topographic Data L. Salgado et al. https://doi.org/10.3390/land14102016
- Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al. https://doi.org/10.5194/tc-19-6749-2025
- ICESat-2 Crossover-Constrained refinement of the Copernicus 30 m DEM in selected Antarctic regions using Machine learning X. Li et al. https://doi.org/10.1016/j.jag.2026.105291
13 citations as recorded by crossref.
- Unlocking the Past: A review of digital processing of historical aerial and satellite stereo analog imagery for geoscience applications L. Piermattei et al. https://doi.org/10.1109/MGRS.2025.3645144
- Elevation bias due to penetration of spaceborne radar signal on Grosser Aletschgletscher, Switzerland J. Bannwart et al. https://doi.org/10.1017/jog.2024.37
- Evaluating Digital Elevation Model generation from Sentinel-1 SAR data in challenging tropical environments Z. Zylshal et al. https://doi.org/10.1007/s40808-024-02171-4
- Applications of ArcticDEM for measuring volcanic dynamics, landslides, retrogressive thaw slumps, snowdrifts, and vegetation heights C. Dai et al. https://doi.org/10.1016/j.srs.2024.100130
- Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data L. Piermattei et al. https://doi.org/10.5194/tc-18-3195-2024
- Assessing glacier thickness changes with multi-temporal UAV-derived DEMs: The evolution of Forni Glacier over the period 2014–2022 V. Belloni et al. https://doi.org/10.1016/j.jag.2025.104547
- Volume changes at Santiaguito volcano between 2011 and 2019 based on TanDEM-X InSAR data A. Edrich et al. https://doi.org/10.3389/feart.2025.1643038
- Co-registration and residual correction of digital elevation models: a comparative study T. Li et al. https://doi.org/10.5194/tc-17-5299-2023
- Improving urban catchment delineation through comparative DEM accuracy assessment and bias correction techniques A. Mishra et al. https://doi.org/10.1016/j.srs.2026.100463
- A Robust DEM Registration Method via Physically Consistent Image Rendering Y. Li et al. https://doi.org/10.3390/app16031238
- Estimating Mercury and Arsenic Release from the La Soterraña Abandoned Mine Waste Dump (Asturias, Spain): Source-Term Reconstruction Using High-Accuracy UAV Surveys and Historical Topographic Data L. Salgado et al. https://doi.org/10.3390/land14102016
- Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al. https://doi.org/10.5194/tc-19-6749-2025
- ICESat-2 Crossover-Constrained refinement of the Copernicus 30 m DEM in selected Antarctic regions using Machine learning X. Li et al. https://doi.org/10.1016/j.jag.2026.105291
Saved (final revised paper)
Latest update: 17 Jul 2026
Short summary
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...